Building Site Selection of the Light Industry Plant Using AHP and GIS in NSDL Environment

Pak Kum Song; Choe Ryong Nam; Won Chang Son; Han Yong Gil; Thae Yong Il

doi:doi:10.11648/j.ajcbm.20250902.13

Research Article |

| Peer-Reviewed

Building Site Selection of the Light Industry Plant Using AHP and GIS in NSDL Environment

Pak Kum Song, Choe Ryong Nam

, Won Chang Son

, Han Yong Gil^*

, Thae Yong Il

Published in American Journal of Construction and Building Materials (Volume 9, Issue 2)

Received: 12 August 2025 Accepted: 9 September 2025 Published: 12 November 2025

Views: Downloads:

Download PDF

Share This Article

Twitter
Linked In
Facebook

Abstract

Building site of the light industry plant should be selected with full consideration of land, electricity, water, transport, raw material supply and environment protection condition of the corresponding area, otherwise it may have a negative effect on the cost of product. Therefore, the optimal selection of building site is very important to the economic revival of enterprise. We have considered a plant building site selection with AHP (Analytic Hierarchy Process) and Geographic Information System (GIS) in NSDL environment. NSDL (Net-oriented System Language) is a complex system modeling tool, which has been developed by combining the advantages of Petri Net with Object-Oriented Programming Language VB (Visual Basic). AHP is a comparative assessment method using human sense, which models the influence of the criteria associated with decision making into a hierarchical structure and allow to choose the best among alternatives to be selected. AHP is widely used in various fields of economy, military, society, management, education, medicine, etc. Also, this method can deal with qualitative or quantitative data. Unlike the other AHP tools, the hierarchical structure models were made by Petri net diagram of NSDL, provides the automatic information link with the AHP module to improve the intuition, flexibility and convenience of decision making tools. In addition, using the object-oriented VB script language of NSDL with powerful integration ability, ArcGIS were combined to perform geographic information analysis to determine the optimal plant building site.

Published in	American Journal of Construction and Building Materials (Volume 9, Issue 2)
DOI	10.11648/j.ajcbm.20250902.13
Page(s)	53-62
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2025. Published by Science Publishing Group

Keywords

Analytic Hierarchy Process, Geographic Information System, Petri Net, Net-oriented System Description Language, Building Site Selection

1. Introduction

It is of great practical significance that develop a convenient and reliable decision making tool.

In the past, AHP tools were mainly developed and used into GUI (graphical user interface) or Excel program with strong spreadsheet capability, such as XLSTAT, AHP Solver, AHPcalc, AHPDecision and Analytic Hierarchy Process.

These tools have performed Analytic Hierarchy Process by entering the corresponding comparison matrices based on their understanding of the hierarchical structure model previously made with images or drawings

[1-8]

. In other words, there was a lack of automatic and informational link between the hierarchical structure model and the AHP module.

Finally, when the hierarchical structure model has a large number of layers, criteria, alternatives and a complex correlation, the decision making was consumed so much time and laborious and the complexity of users’ use is unavoidable.

All over the world, software development tools that combine the advantages of Petri nets and object-oriented programming languages were developed such as Renew, THORNs, SNAKES, etc.

[9-16]

We have developed an AHP tool using the Net-oriented System Description Language (NSDL), a complex system modeling tool developed by combining the advantages of Petri net and object-oriented program language.

In this paper, we have intuitively described the hierarchical structural model with Petri nets diagrams of NSDL, have conveniently modeled AHP module with NSDL object-oriented script language, thus enhancing the intuition, flexibility and convenience of AHP tool.

In addition, decision making system of determining the optimal plant building site was designed by combining our AHP and the advanced GIS analysis tool, ArcGIS.

2. Net-Oriented System Description Language NSDL

2.1. Basic Configuration of NSDL

The NSDL (Net-Oriented System Description Language) is an independent software development tool that uses the Petri nets and object-oriented programming language VB based on Microsoft. NET Framework 4.0 libraries.

The formal representation of NSDL is as follows.

NSDL = [P, T, A, M, F, θ, O]

(1)

Where,

1) P is the finite set of places,

2) T is the finite set of transitions (includes control transitions),

3) A is the finite set of arcs,

4) M is the finite set of markings (includes the object tokens),

5) F is the finite set of functional code,

6) θ is the finite set of attributes (delay time after firing, firing rate, priority, weight, capacity, type of elements, competition extraction setting and color, etc.) and

7) is the finite set of standard objects and user defined objects modeled with functional codes.

The NSDL models the system as follows.

In the upper level of system,

1) Hierarchical diagram models according to the mutuality and the logical action sequence of system components are constructed.

2) Graphical User Interface models can be configured according to the demands of the user. (optional)

3) Setting properties of diagrammatic and interface modeling elements.

In the lower level of system,

1) Editing Standard and user defined functional code model of upper level diagram elements.

2) Dynamic setting properties of diagrammatic and interface elements by functional codes during the simulation.

In NSDL, we introduced elements such as in/out place terminal, equal place and subsystem, functions such as model library management, code debugging and model compiling to further improve its flexibility, convenience, extensibility and productivity.

2.2. Modeling Element

Modeling elements include place, transition, arc, subsystems, controls and functional code.

2.2.1. Place

The place reflects the state of system. It is classified into integer place, variable place (includes object), real number place, stack place, FIFO place and equal place according to the contained information (Figure 1). The integer place, the stack place and the FIFO place have their own capacities.

NSDL may describe the state of continuous or hybrid systems as well as the state of discrete systems using these places.

Download: Download full-size image

Figure 1. Places.

2.2.2. Transition

Transitions are fired according to the states of input places, input or output arc properties and own condition functions.

The transition is a processing element that executes the corresponding function of a certain event according to the states of input places or inner terminals (variable or simplified input/output place terminal) added to it. (Figure 2)

Download: Download full-size image

Figure 2. Transition and inner terminal added to it.

For convenience of modeling, And-transition and Or-transition are used and they may be contained simplified input/output or variable place terminal. In these place terminals, data type of token can be contained Boolean, Integer, Real number, String and Object, etc.

Custom controls transition which are widely used in GUI (Graphical User Interface) modeling, such as Graph, Table, Text Box, Button, Check Box, Combo Box be newly introduced to improve modeling capability in NSDL (Figure 3).

Such Custom controls transitions can execute the action according to the standard transition and itself private function. The attributes of firing time, firing rate, priority and the like can be set in all the transitions.

Download: Download full-size image

Figure 3. Typical transitions of custom controls.

2.2.3. Arcs

Arc is link element that describes the relationship between places or transitions and has two types: input arc and output arc.

According to the mode of information (token) transmission, input arc can be classified into three types: Flow arc, Reference arc, Inhibitor arc.

Flow arc transfers information of input place into transition connected to it and removes information in the input place. On the other hand, Reference arc keeps the information in the input place after the relevant transitions are fired. Inhibitor arc transfers information, when there is no information in the input place. Output arc outputs the information of a transition.

Also, arcs may be contained multiplicity, flow quantity and conditional expression, output function can be defined in the output arc (Figure 4).

Download: Download full-size image

Figure 4. Type of arc.

2.2.4. Subsystem Model Element

Download: Download full-size image

Figure 5. Expression of the input/output terminal of subsystem element.

The hierarchical structure of complex information system can be modeled with subsystem model elements, simplified input and output place terminals (Figure 5).

Input/output place terminals can be only connected to the places in subsystem model.

2.2.5. Functional Code Model

Functional code describes the execution code of diagram model elements created in the upper level of systems.

They can use not only the arbitrary function and procedure that Framework4.0 library supports, but also NSDL ‘s custom functions and procedures as follows.

1) Sub Initialize (): a procedure for initialization.

2) Sub Terminate (): a procedure occurring when the fire is ended.

3) Sub InputValue (): a procedure occurring as the transition inputs information.

4) Sub OutputValue (): a procedure occurring as the transition outputs information.

5) Sub Action (): a procedure occurring when the transition is fired.

6) Function UserCondition (): a function that processes user defined condition at transition and arc.

The system variables, procedures and functions that NSDL support in default are:

1) Systime: Get current running time of model.

2) Modelpath: Get current model path.

3) Mainform: Display main form windows.

4) Resetmodel: Reset the initial condition of the diagram model.

5) Runcount: Set run count of model.

6) Runstyle: Set run style (Debug, Release, Independent).

7) Updatemodel: Redraw the current diagram model.

And so on.

2.3. Firing Rule

The state of the system in NSDL changes by the firing of transition i.e. the occurrence of an event.

The firing of transition follows the standard firing condition of Petri net and the type of transition (And, Or, Custom control action), the kind and attributes of input arcs (conditional expression, multiplicity, flow quantity) (Figure 6).

Download: Download full-size image

Figure 6. Firing conditions of the transition (firing enable states).

The transitions defined by the function “User Condition ()” can only be fired when the above mentioned conditions and this function value conditions are satisfied.

3. Building Site Selection of the Light Industry Plant

3.1. Algorithm of Tool

The algorithm diagram of the tool is shown in Figure 7.

Download: Download full-size image

Figure 7. Algorithm Diagram of the tool.

3.2. AHP Tool

3.2.1. Making AHP Structural Model

The process of making AHP structure model in tool is as follows.

1) Hierarchical Structure Modeling Module

1) User can used one goal layer element (A1), 17 criteria layer elements (B1- K1), one alternative layer element (S1) and one reference arc element to model hierarchical structure, also one sub-criteria and sub- alternative element by subsystem element. These elements are created and stored in the Hierarchical Analytical Library file “ahp.ndt”.

2) Insert the model library file “ahp.ndt” into the toolbox.

3) Using the modeling elements in the toolbox, create an AHP structural model that the user needs and add the attributes for the example (Figures 8 and 9).

4) For convenience, If there are so many criteria (or alternatives) in one layer can be used as sub-criteria (alternatives).

2) Generation of incidence table, checking and revising for hierarchical structure model

1) Generates incidence table according to the relationship of each element in the hierarchical structure model (Table 1).

2) The user checks the consistency of the built-in hierarchical structure model with the generated incidence table and performs modifications and storage of the built-in model.

3) AHP module

1) Based on the incidence table obtained from the created AHP structural model, we implement AHP algorithm using the VB script language of NSDL.

2) The user can directly input qualitative and quantitative criteria. Also, the NSDL’s script language and the best GIS analysis tool ArcGIS were combined to input the analysis results for the relevant criteria.

Download: Download full-size image

Figure 8. AHP Structural Petri net Model.

The selection of building site should take into account the criteria of electricity, industrial water supply, transportation and, in particular, the convenience.

Download: Download full-size image

Figure 9. Sub-Criteria and Sub-Alternatives.

The incidence table for AHP structure of example model is as follows.

Table 1. Incidence Table for AHP structure model.

No	A1	B1	B2	C1	C2	C3	C4	C5	C6	D1	...	D13
1	B1	C1	C2	D1	D5	D7	D9	S1	S1	S1	...	S1
2	B2	C2	C3	D2	D6	D8	D10	S2	S2	S2	...	S2
3		C3	C4	D3			D11	S3	S3	S3	...	S3
4		C4	C5	D4			D12	S4	S4	S4	...	S4
5			C6				D13	S5	S5	S5	...	S5
6							D14

3.2.2. Evaluation of Qualitative Criteria

Based on incidence table, the following AHP algorithm is constructed by VB language of NSDL.

Step 1: Judgment Matrix Construction

When AHP diagram is constructed, judgment matrix to reflect expert’s subjective assessment is made. The judgment matrix may be made by comparison table.

Table 2. Meaning of Comparison Values.

Comparison value	Meaning
1	Equally importance
3	Moderately importance
5	Strongly importance
7	Very strongly importance
9	Extreme importance
2, 4, 6, 8	Intermediate values

Step 2: Calculation of the weight by geometric average.

1) Calculate the product

of the elements of each row of judgment matrix A.

2) Calculate the n^th square root

3) Calculate the weight by normalizing vector

(2)

where

is an eigenvector.

Step 3: Consistency

The validity of the judgment matrix is determined by the CI (Consistency Index).

(3)

The consistency of the judgment matrix is determined by the average random consistency ratio.

doesn’t satisfy the following condition, though it is less than 0.1, must check the judgment matrix again.

(4)

Table 3. Random Consistency Index.

	2		3	4	5	6	7	8	9	10	11	12
RI	0		0.58	0.90	1.12	1.24	1.32	1.41	1.45	1.49	1.51	1.53

Table 4. Judgment matrix of B2.

B2	C2	C3	C4	C5	C6	Weight
C2	1	3	5	9	7	0.5100387
C3	0.3333333	1	3	7	5	0.2638338
C4	0.2	0.3333333	1	5	3	0.1295737
C5	0.1111111	0.1428571	0.2	1	0.3333333	0.0329178
C6	0.1428571	0.2	0.3333333	3	1	0.063636

Comparative judgment matrices for qualitative criteria are made by experts.

3.2.3. Evaluation of Quantitative Criteria

For quantification criteria, normalization can be performed by Simple, Max-Min and Sigmoid transformation method. The sigmoid transformation method uses the following expression to estimate the importance:

Standarddeviation

(5)

Sigmoidtransformation

(6)

The larger the value, the better the case:

(7)

The lower the value, the better the case:

(8)

3.2.4. Evaluation Total Weight

For a given problem, let the criteria be K layers and the

criteria of the k-th layer denotes separately

. The weight of the j-th criterion

of the k-th layer is

. Let the estimate of the alternative

for j-th criterion

of the 1-th layer (lowest layer) is

. The overall estimate

of the alternative

(9)

Quantitative criteria are inputted by ArcGIS analysis results and normalized by Sigmoid method.

Download: Download full-size image

Figure 10. Alternatives of Plant Building site.

The summary of weights is shown in Table 5.

Table 5. Summary of Weights.

A Layer	B Layer		C Layer		D Layer		S Layer		Ranking
A1-Building Site Selection of the Light Industry Plant	B1- Construction	0.25	C1- Land	0.0173	D1- Farmland	0.0098	S1-Site1	0.3393	3
					D2- Highland	0.0020
					D3- Building Land	0.0046
					D4- Vacant Land	0.0010	S2-Site 2	0.1789	5
			C2- Electricity	0.5062	D5- Nation supply	0.3796
			C2- Electricity	0.5062	D6- Own supply	0.1265
			C3- Industrial Water	0.2353	D7- Natural Water	0.1765
			C3- Industrial Water	0.2353	D8- Service Water	0.0588	S3-Site 3	0.3491	2
			C4- Transport	0.1339	D9- Road No. 1	0.0518
	B2-Operation	0.75			D10- Road No. 2	0.0337
					D11- Road No. 3	0.0215	S4-Site 4	0.4852	1
					D12- Road No. 4	0.0057
					D13- Railway Station	0.0086
					D14- Harbor	0.0135
			C5- Raw Supply	0.0417			S5-Site 5	0.2306	4
			C6- Protection of Environment	0.0656			S5-Site 5	0.2306	4

As can be seen from the results, it can be seen that building site 4 is the most reasonable site.

Unlike the Simple method, the sum of the total weights is not equal to 1 if the sigmoid transformation method is used.

4. Conclusion

Compared with the previous AHP tools, AHP tool developed by NSDL has been used to build hierarchical structure models with Petri net diagrams to improve the intuition, flexibility and convenience of decision making tool.

Also, the object-oriented VB scripting language of NSDL with powerful integration capabilities and GIS analysis tool ArcGIS were integrated to perform geographic information analysis for building sites.

Abbreviations

AHP	Analytical Hierarchy Process
GIS	Geographic Information System
NSDL	Net-oriented System Description Language
VB	Visual Basic
GUI	Graphical User Interface
FIFO	First-In First-Out

Acknowledgments

The authors would like to thank Prof. Dr. Kim Kwan Sik who is a boss in the development of NSDL, the developers of these decision-making tool. Also, we would like to thank developers of the convenient and powerful Microsoft. NET Framework 4.0.

Funding

This work was partially supported by University of National Economy.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	Goran Brestovac and Robi Grgurina, Applying Multi-Criteria Decision Analysis Methods in Embedded Systems Design, Västerås, Sweden, 2013.
[2]	Iman Majdi, Comparative evaluation of PROMETHEE and ELECTRE with application to sustainability assessment, Canada, 2010.
[3]	Mohamed Hanine, Omar Boutkhoum, Abdessadek Tikniouine 1 and Tarik Agouti, Application of an integrated multi-criteria decision making AHP-TOPSIS methodology for ETL software selection, SpringerPlus, 2016, https://doi.org/10.1186/s40064-016-1888-z
[4]	Marcio Pereira Basílio etc. 4, A Systematic Review of the Applications of Multi-Criteria Decision Aid Methods (1977–2022), Electronics 2022, 11, 1720, https://doi.org/10.3390/electronics11111720
[5]	Karel Dawid Balt, A METHODOLOGY FOR IMPLEMENTING THE ANALYTICAL HIERARCHY PROCESS TO DECISION-MAKING IN MINING, Johannesburg 2015.
[6]	Chia Ming Hong ect. 2, Application of the analytic hierarchy process (AHP) on criteria that affect students’ enrollment in TVET based on TVET instructors and students’ perspectives, Journal of Language and Linguistic Studies, 18(1), 2022, 761-774, https://doi.org/10.52462/jlls.218
[7]	Dzakiyah Agustin Puspitasari etc. 4, Selection of Shipping Services Using Analytical Hierarchy Process (AHP) Methods, INFERENSI, Vol. 4(2), September 2021. https://doi.org/10.12962/j27213862.v4i2.10923
[8]	Wolfgang Reisig, Understanding Petri Nets, Springer-Verlag Berlin Heidelberg, 2013, https://doi.org/10.1007/978-3-642-33278-4
[9]	Rene David, Hassane Alla, Discrete, Continuous and Hybrid Petri Nets, Springer-Verlag Berlin Heidelberg, 2010, https://doi.org/10.1007/978-3-642-10669-9
[10]	Frank Köster, Stefan Schöf, Michael Sonnenschein, and Ralf Wieting. Modeling of a Library with THORNs, Springer-Verlag Berlin Heidelberg, 2001.
[11]	Reggie Davidrajuh, Modeling Discrete-Event Systems with GPenSIM, SpringerBriefs in Applied Sciences and Technology, 2018, https://doi.org/10.1007/978-3-319-73102-5
[12]	Lawrence Cabac, Michael Haustermann, David Mosteller, Software Development with Petri Nets and Agents: Approach, Frameworks and Tool Set, Preprint submitted to Science of Computer Programming, December 12, 2017, 27 pages, https://doi.org/10.1016/j.scico.2017.12.003
[13]	Sabrina Proß Bernhard Bachmann, Sebastian Jan Janowski Ralf Hofestädt, A NEW OBJECT- ORIENTED PETRI NET SIMULATION ENVIRONMENT BASED ON MODELICA, Proceedings of the 2012 Winter Simulation Conference, GERMANY, 2012
[14]	András Vörös, Dániel Darvas, Ákos Hajdu, Industrial applications of the PetriDotNet modeling and analysis tool, Preprint submitted to Science of Computer Programming, September 11, 2017, 24 pages, http://dx.doi.org/10.1016/j.scico.2017.09.003
[15]	Armen Bagdasaryan, Systems theoretic techniques for modeling, control and decision support in complex dynamic systems, Artificial Intelligence Resources in Control and Automation Engineering, 2012, 15-72.

Cite This Article

Plain Text BibTeX RIS

APA Style

Song, P. K., Nam, C. R., Son, W. C., Gil, H. Y., Il, T. Y. (2025). Building Site Selection of the Light Industry Plant Using AHP and GIS in NSDL Environment. American Journal of Construction and Building Materials, 9(2), 53-62. https://doi.org/10.11648/j.ajcbm.20250902.13

Copy | Download

ACS Style

Song, P. K.; Nam, C. R.; Son, W. C.; Gil, H. Y.; Il, T. Y. Building Site Selection of the Light Industry Plant Using AHP and GIS in NSDL Environment. Am. J. Constr. Build. Mater. 2025, 9(2), 53-62. doi: 10.11648/j.ajcbm.20250902.13

Copy | Download

AMA Style

Song PK, Nam CR, Son WC, Gil HY, Il TY. Building Site Selection of the Light Industry Plant Using AHP and GIS in NSDL Environment. Am J Constr Build Mater. 2025;9(2):53-62. doi: 10.11648/j.ajcbm.20250902.13

Copy | Download

@article{10.11648/j.ajcbm.20250902.13,
  author = {Pak Kum Song and Choe Ryong Nam and Won Chang Son and Han Yong Gil and Thae Yong Il},
  title = {Building Site Selection of the Light Industry Plant Using AHP and GIS in NSDL Environment
},
  journal = {American Journal of Construction and Building Materials},
  volume = {9},
  number = {2},
  pages = {53-62},
  doi = {10.11648/j.ajcbm.20250902.13},
  url = {https://doi.org/10.11648/j.ajcbm.20250902.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajcbm.20250902.13},
  abstract = {Building site of the light industry plant should be selected with full consideration of land, electricity, water, transport, raw material supply and environment protection condition of the corresponding area, otherwise it may have a negative effect on the cost of product. Therefore, the optimal selection of building site is very important to the economic revival of enterprise. We have considered a plant building site selection with AHP (Analytic Hierarchy Process) and Geographic Information System (GIS) in NSDL environment. NSDL (Net-oriented System Language) is a complex system modeling tool, which has been developed by combining the advantages of Petri Net with Object-Oriented Programming Language VB (Visual Basic). AHP is a comparative assessment method using human sense, which models the influence of the criteria associated with decision making into a hierarchical structure and allow to choose the best among alternatives to be selected. AHP is widely used in various fields of economy, military, society, management, education, medicine, etc. Also, this method can deal with qualitative or quantitative data. Unlike the other AHP tools, the hierarchical structure models were made by Petri net diagram of NSDL, provides the automatic information link with the AHP module to improve the intuition, flexibility and convenience of decision making tools. In addition, using the object-oriented VB script language of NSDL with powerful integration ability, ArcGIS were combined to perform geographic information analysis to determine the optimal plant building site.
},
 year = {2025}
}

Copy | Download

TY  - JOUR
T1  - Building Site Selection of the Light Industry Plant Using AHP and GIS in NSDL Environment

AU  - Pak Kum Song
AU  - Choe Ryong Nam
AU  - Won Chang Son
AU  - Han Yong Gil
AU  - Thae Yong Il
Y1  - 2025/11/12
PY  - 2025
N1  - https://doi.org/10.11648/j.ajcbm.20250902.13
DO  - 10.11648/j.ajcbm.20250902.13
T2  - American Journal of Construction and Building Materials
JF  - American Journal of Construction and Building Materials
JO  - American Journal of Construction and Building Materials
SP  - 53
EP  - 62
PB  - Science Publishing Group
SN  - 2640-0057
UR  - https://doi.org/10.11648/j.ajcbm.20250902.13
AB  - Building site of the light industry plant should be selected with full consideration of land, electricity, water, transport, raw material supply and environment protection condition of the corresponding area, otherwise it may have a negative effect on the cost of product. Therefore, the optimal selection of building site is very important to the economic revival of enterprise. We have considered a plant building site selection with AHP (Analytic Hierarchy Process) and Geographic Information System (GIS) in NSDL environment. NSDL (Net-oriented System Language) is a complex system modeling tool, which has been developed by combining the advantages of Petri Net with Object-Oriented Programming Language VB (Visual Basic). AHP is a comparative assessment method using human sense, which models the influence of the criteria associated with decision making into a hierarchical structure and allow to choose the best among alternatives to be selected. AHP is widely used in various fields of economy, military, society, management, education, medicine, etc. Also, this method can deal with qualitative or quantitative data. Unlike the other AHP tools, the hierarchical structure models were made by Petri net diagram of NSDL, provides the automatic information link with the AHP module to improve the intuition, flexibility and convenience of decision making tools. In addition, using the object-oriented VB script language of NSDL with powerful integration ability, ArcGIS were combined to perform geographic information analysis to determine the optimal plant building site.

VL  - 9
IS  - 2
ER  -

Copy | Download

Author Information

Pak Kum Song

Faculty of Mechanical Engineering, Kim Chaek University of Technology, Pyongyang, DPR Korea
Choe Ryong Nam

Faculty of Mechanical Engineering, Kim Chaek University of Technology, Pyongyang, DPR Korea

http://orcid.org/0009-0000-2193-9349
Won Chang Son

Department of Industrial Administration, University of National Economy, Pyongyang, DPR Korea

http://orcid.org/0009-0001-7591-2085
Han Yong Gil

Faculty of Mechanical Engineering, Kim Chaek University of Technology, Pyongyang, DPR Korea

Contact Email

http://orcid.org/0000-0003-3867-9306
Thae Yong Il

Faculty of Mechanical Engineering, Kim Chaek University of Technology, Pyongyang, DPR Korea

http://orcid.org/0009-0003-5997-2832

Download PDF

Submit an Article

Plain Text BibTeX RIS

APA Style

Song, P. K., Nam, C. R., Son, W. C., Gil, H. Y., Il, T. Y. (2025). Building Site Selection of the Light Industry Plant Using AHP and GIS in NSDL Environment. American Journal of Construction and Building Materials, 9(2), 53-62. https://doi.org/10.11648/j.ajcbm.20250902.13

Copy | Download

ACS Style

Song, P. K.; Nam, C. R.; Son, W. C.; Gil, H. Y.; Il, T. Y. Building Site Selection of the Light Industry Plant Using AHP and GIS in NSDL Environment. Am. J. Constr. Build. Mater. 2025, 9(2), 53-62. doi: 10.11648/j.ajcbm.20250902.13

Copy | Download

AMA Style

Song PK, Nam CR, Son WC, Gil HY, Il TY. Building Site Selection of the Light Industry Plant Using AHP and GIS in NSDL Environment. Am J Constr Build Mater. 2025;9(2):53-62. doi: 10.11648/j.ajcbm.20250902.13

Copy | Download

@article{10.11648/j.ajcbm.20250902.13,
  author = {Pak Kum Song and Choe Ryong Nam and Won Chang Son and Han Yong Gil and Thae Yong Il},
  title = {Building Site Selection of the Light Industry Plant Using AHP and GIS in NSDL Environment
},
  journal = {American Journal of Construction and Building Materials},
  volume = {9},
  number = {2},
  pages = {53-62},
  doi = {10.11648/j.ajcbm.20250902.13},
  url = {https://doi.org/10.11648/j.ajcbm.20250902.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajcbm.20250902.13},
  abstract = {Building site of the light industry plant should be selected with full consideration of land, electricity, water, transport, raw material supply and environment protection condition of the corresponding area, otherwise it may have a negative effect on the cost of product. Therefore, the optimal selection of building site is very important to the economic revival of enterprise. We have considered a plant building site selection with AHP (Analytic Hierarchy Process) and Geographic Information System (GIS) in NSDL environment. NSDL (Net-oriented System Language) is a complex system modeling tool, which has been developed by combining the advantages of Petri Net with Object-Oriented Programming Language VB (Visual Basic). AHP is a comparative assessment method using human sense, which models the influence of the criteria associated with decision making into a hierarchical structure and allow to choose the best among alternatives to be selected. AHP is widely used in various fields of economy, military, society, management, education, medicine, etc. Also, this method can deal with qualitative or quantitative data. Unlike the other AHP tools, the hierarchical structure models were made by Petri net diagram of NSDL, provides the automatic information link with the AHP module to improve the intuition, flexibility and convenience of decision making tools. In addition, using the object-oriented VB script language of NSDL with powerful integration ability, ArcGIS were combined to perform geographic information analysis to determine the optimal plant building site.
},
 year = {2025}
}

Copy | Download

TY  - JOUR
T1  - Building Site Selection of the Light Industry Plant Using AHP and GIS in NSDL Environment

AU  - Pak Kum Song
AU  - Choe Ryong Nam
AU  - Won Chang Son
AU  - Han Yong Gil
AU  - Thae Yong Il
Y1  - 2025/11/12
PY  - 2025
N1  - https://doi.org/10.11648/j.ajcbm.20250902.13
DO  - 10.11648/j.ajcbm.20250902.13
T2  - American Journal of Construction and Building Materials
JF  - American Journal of Construction and Building Materials
JO  - American Journal of Construction and Building Materials
SP  - 53
EP  - 62
PB  - Science Publishing Group
SN  - 2640-0057
UR  - https://doi.org/10.11648/j.ajcbm.20250902.13
AB  - Building site of the light industry plant should be selected with full consideration of land, electricity, water, transport, raw material supply and environment protection condition of the corresponding area, otherwise it may have a negative effect on the cost of product. Therefore, the optimal selection of building site is very important to the economic revival of enterprise. We have considered a plant building site selection with AHP (Analytic Hierarchy Process) and Geographic Information System (GIS) in NSDL environment. NSDL (Net-oriented System Language) is a complex system modeling tool, which has been developed by combining the advantages of Petri Net with Object-Oriented Programming Language VB (Visual Basic). AHP is a comparative assessment method using human sense, which models the influence of the criteria associated with decision making into a hierarchical structure and allow to choose the best among alternatives to be selected. AHP is widely used in various fields of economy, military, society, management, education, medicine, etc. Also, this method can deal with qualitative or quantitative data. Unlike the other AHP tools, the hierarchical structure models were made by Petri net diagram of NSDL, provides the automatic information link with the AHP module to improve the intuition, flexibility and convenience of decision making tools. In addition, using the object-oriented VB script language of NSDL with powerful integration ability, ArcGIS were combined to perform geographic information analysis to determine the optimal plant building site.

VL  - 9
IS  - 2
ER  -

Copy | Download

No	A1	B1	B2	C1	C2	C3	C4	C5	C6	D1	...	D13
1	B1	C1	C2	D1	D5	D7	D9	S1	S1	S1	...	S1
2	B2	C2	C3	D2	D6	D8	D10	S2	S2	S2	...	S2
3		C3	C4	D3			D11	S3	S3	S3	...	S3
4		C4	C5	D4			D12	S4	S4	S4	...	S4
5			C6				D13	S5	S5	S5	...	S5
6							D14

No	A1	B1	B2	C1	C2	C3	C4	C5	C6	D1	...	D13
1	B1	C1	C2	D1	D5	D7	D9	S1	S1	S1	...	S1
2	B2	C2	C3	D2	D6	D8	D10	S2	S2	S2	...	S2
3		C3	C4	D3			D11	S3	S3	S3	...	S3
4		C4	C5	D4			D12	S4	S4	S4	...	S4
5			C6				D13	S5	S5	S5	...	S5
6							D14

No	A1	B1	B2	C1	C2	C3	C4	C5	C6	D1	...	D13
1	B1	C1	C2	D1	D5	D7	D9	S1	S1	S1	...	S1
2	B2	C2	C3	D2	D6	D8	D10	S2	S2	S2	...	S2
3		C3	C4	D3			D11	S3	S3	S3	...	S3
4		C4	C5	D4			D12	S4	S4	S4	...	S4
5			C6				D13	S5	S5	S5	...	S5
6							D14