Solving a Vehicle Routing Problem under Uncertainty by a Differential Evolution Algorithm
Alireza
Salamatbakhsh
Department of Industrial Engineering, Ayandegan Institute of Higher Education, Tonekabon, Iran
author
Reza
Tavakkoli-Moghaddam
Department of Industrial Engineering,
College of Engineering, University of Tehran, Tehran, Iran
author
Ali
Pahlevani
Department of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
author
text
article
2021
per
Purpose: In the real world, the vehicles should return to the depot after serving the last customer's location because of decreased related costs. This paper investigates the problem of increasing service time by using the stochastic time for each tour such that the total travelling time of the vehicles is limited to a specific limit based on a defined probability. Methodology: It is proven that classic models in vehicle routing problems (VRPs) belong to the class of NP-hard ones; thus, due to its complexity using exact methods in large-scale problems, a meta-heuristic-based differential evolution (DE) algorithm is proposed. Findings: The obtained results indicate the efficiency of the proposed DE algorithm. Originality/Value: The total travel time is limited to a definite probability per cent, and other constraints (e.g., capacity and time distribution restrictions) are considered. In contrast, the total cost of the transportation is minimized.
Innovation Management and Operational Strategies
Research Expansion Alliance (REA) on behalf of Ayandegan Institute of Higher Education
2783-1345
1
v.
4
no.
2021
310
319
http://www.journal-imos.ir/article_126059_ea52316baf70647122d09663ada5787e.pdf
dx.doi.org/10.22105/imos.2021.272652.1034
Ranking Executive Actions of Technology Roadmap with the Emphasis on Resources and Technology Acquisition (A Case Study of Two International Roadmaps)
Kiarash
Fartash
Methodology of Science and Technology Department, Institute for Science and Technology Studies, Shahid Beheshti University, Tehran, Iran.
author
Mostafa
Mohseni Kiasari
Department of Industrial Management, Faculty of Economics and Administrative Sciences, University of Mazandaran, Mazandaran, Iran.
author
text
article
2021
per
Purpose: The main objective of this paper is to rank the executive actions of the technology roadmaps with an emphasis on resources and technology acquisition. Methodology: Literature on the role of technology, including approaches, frameworks of roadmap drawing, technology uses, and several primarily up-to-date technology maps, were reviewed. In the next step, two technology roadmaps published by the International Energy Agency were selected to rank the executive actions. These two roadmaps were produced in 2011, with the horizon of 2050. These two roadmaps were studied, and the infrastructure needed to achieve their goals was extracted. Eventually, the battery was selected as the main challenge in the resource layer and technology acquisition for ranking. Findings: Five batteries from the family of ion-lithium batteries (with six technical characteristics) were ranked by TOPSIS and PROMETHEE. For clarity, the six ordinary electric cars on the world market have been compared and ranked. Originality/Value: The results of this research can be used to increase global competitiveness, used by domestic car manufacturers, and as a guideline to determine the priorities of the executive actions that need to be undertaken by Iranian firms.
Innovation Management and Operational Strategies
Research Expansion Alliance (REA) on behalf of Ayandegan Institute of Higher Education
2783-1345
1
v.
4
no.
2021
320
346
http://www.journal-imos.ir/article_120766_30328442d9a908c273c456a675d14206.pdf
dx.doi.org/10.22105/imos.2020.262855.1019
Developing and Selecting A Strategy for Interaction with Stakeholders During the Project Life Cycle in Oil Projects
Raman
Rezaei
Project Planning Manager- Iraniannet
author
text
article
2021
per
Purpose: This study aimed to develop and select a strategy for interacting with stakeholders during the life cycle of oil projects using the SWOT matrix, the fuzzy TOPSIS method, and a proposed mathematical model in Pars Oil and Gas Company. Methodology: For this purpose, 9 strengths, 8 weaknesses, 7 threats, and 8 opportunities were presented, and then 15 proposed strategies using the views of a sample of 23 people available from experts in the studied projects. Then, strategies were ranked using the fuzzy TOPSIS method in Excel. In the last step, the proposed mathematical model was solved using Gamz software, and the interaction strategy with stakeholders was determined. Findings: Findings showed that the numerical value of internal factors was 0.124, and the numerical value of external factors was 0.003. Therefore, the company's strategic position was in the first area, and it was necessary to put aggressive strategies on the agenda of this company. Also, the ranking of strategies was done using the fuzzy TOPSIS method, and the findings of solving the mathematical model to select the optimal strategy of interaction with stakeholders showed that the results of the mathematical model are different from the result of multi-criteria decision-making and each strategy can relate to several conflicts Improve stakeholders. Originality/Value: This article adds scientific value by providing a way to identify, prioritize, and determine appropriate strategies for interacting with stakeholders.
Innovation Management and Operational Strategies
Research Expansion Alliance (REA) on behalf of Ayandegan Institute of Higher Education
2783-1345
1
v.
4
no.
2021
347
362
http://www.journal-imos.ir/article_125928_97751c7507ffca06744bced84fd69469.pdf
dx.doi.org/10.22105/imos.2021.271903.1028
Measuring the Efficiency and Productivity of Cement Companies in the Tehran Stock Exchange Using Data Envelopment Analysis and Malmquist Productivity Index in Gray Environment
Farjam
Kayedppour
Department of Industrial Management, Allameh Tabatabai University, Tehran, Iran.
author
Shadi
Sayadmanesh
Department of Industrial Management, Allameh Tabatabai University, Tehran, Iran.
author
Yasamin
Salmani
Department of Management, College of Business, Bryant University, Smithfield, USA.
author
Zahra
Sadeghi
Department of Industrial Management, Allameh Tabatabai University, Tehran, Iran.
author
text
article
2021
per
Purpose: In this study, the grey data envelopment analysis approach and the Malmquist productivity index were used to measure the efficiency and productivity of companies in the Tehran Stock Exchange cement industry. Methodology: First, we identify the appropriate financial ratios for measuring efficiency. Then, we calculate these ratios for each financial year as grey numbers (intervals). In the next step, these ratios are divided into two groups of input and output variables under research variables. Finally, the efficiency and productivity of the studied companies for the two fiscal years, 2018 and 2019, were determined using CCR and BCC models. Its components have been estimated.
Findings: The results of this study provide a suitable framework for using uncertain information (grey) to replace definite information and thus allow more realistic results to be estimated about the performance of companies. Findings: The results of this study provide a suitable framework for using uncertain information (grey) to replace definite information and thus allow more realistic results to be estimated about the performance of companies. Originality/Value: This study uses the Malmquist-Grey Productivity Index to provide a framework for comparing productivity changes over time. This index measures the ratio of the measured efficiencies of a production unit in two different periods.
Innovation Management and Operational Strategies
Research Expansion Alliance (REA) on behalf of Ayandegan Institute of Higher Education
2783-1345
1
v.
4
no.
2021
363
382
http://www.journal-imos.ir/article_127880_b4808225d9aa734942e0c00b0442df44.pdf
dx.doi.org/10.22105/imos.2021.276467.1038
A Mathematical Model for Suppliers' Evaluation and Purchasing Spare Parts (A case study: Ferdowsi Power Plant, Mapna Operation and Repair Company)
Alireza
Rashidi Komijan
Department of Industrial Engineering, Firoozkooh Branch, Islamic Azad University, Firoozkooh, Iran
author
Ahmad
Masoudifar
Department of Industrial Management-Production and Operations, Electronic Branch, Islamic Azad University, Iran.
author
text
article
2021
per
Purpose: One of the most critical issues in supplying equipment and managing spare parts for power plant industries is evaluating and selecting suppliers and assigning orders to them. This study aims to achieve a comprehensive model for ranking the suppliers, classifying the parts, evaluating suppliers, and optimal allocation of orders. Methodology: The indicators of the supplier's evaluation were determined in the first stage. The weight of evaluation indicators was calculated by taking experts' opinions and using Group AHP and Minimum squares techniques. Prioritization and grouping of parts were done by sampling the Kraljic matrix, and the priority factor for each part was determined. In the second stage, using the TOPSIS technique, the rank of each supplier in terms of supplying the potential parts was determined. In the third stage, designing a mathematical model of planning the correct number zero-one was considered. The function of the target is to maximize the value of the purchase and include the restrictions of zero-one planning, limited budget, and management policies. GAMS software was used to solve the model. Findings: The results show that determining the group for each part, considering the two dimensions of supply risk and the vitality of the part provides a suitable management tool for equipment supply management. The zero and one integer planning model is appropriate for order allocation problems. In spare parts, the structure and components of the objective function and constraints can be changed according to the type of organization. Originality/Value: The TOPSIS technique properly combines the weight of evaluation indicators and expert opinions about the suppliers of each component, and the results can be used confidently in the design of the mathematical model.
Innovation Management and Operational Strategies
Research Expansion Alliance (REA) on behalf of Ayandegan Institute of Higher Education
2783-1345
1
v.
4
no.
2021
383
402
http://www.journal-imos.ir/article_126643_2176553ae51c0f92e2227dcbbe0b58a6.pdf
dx.doi.org/10.22105/imos.2021.271983.1030
Designing A New Fuzzy Expert System for Project Portfolio Risk Management
Masoumeh
Zahedi
Department of Industrial Engineering, Research Sciences Branch, Islamic Azad University, Tehran, Iran.
author
Mohamad
Khalilzadeh
Department of Industrial Engineering, Research Sciences Branch, Islamic Azad University, Tehran, Iran.
author
Hasan
Javanshir
Department of Industrial Engineering, Research Sciences Branch, Islamic Azad University, Tehran, Iran.
author
text
article
2021
per
Purpose: This study aimed to design a new fuzzy expert system for project portfolio risk management in ongoing projects of a first mobile holding. Methodology: To identify the risks from the DEMATEL method developed, to evaluate and determine the most critical risks from the fuzzy FMEA methods and the AHP method in Expert Choice software, and to select the optimal risk response, a proposed mathematical model is used and solved in Gamz software. Findings: The research findings showed 23 risks in the studied projects, 8 of which were highly important and impacted. Risk prioritization and determining their impact level were also performed using the integrated AHP-FMEA method. Findings obtained from solving and implementing the mathematical model in Gamz software also showed that the proposed model of efficiency and capability for selecting optimal risk response strategies is established. Originality/Value: The general findings indicate that the proposed new fuzzy expert system also has the capability and efficiency to manage the portfolio risk in the study holding.
Innovation Management and Operational Strategies
Research Expansion Alliance (REA) on behalf of Ayandegan Institute of Higher Education
2783-1345
1
v.
4
no.
2021
403
421
http://www.journal-imos.ir/article_126642_c53ad5c763fa1d8bd3271f43622ff8ac.pdf
dx.doi.org/10.22105/imos.2021.271975.1029
Feasibility Assessment and Implementation of Integrated Management of The West Coast of The Mazandran Province According to the ICZM
Habibeh
Karimi
Department of Environmental Engineering, Tonekabon Branch, Islamic Azad University, Tonekabon, Iran.
author
Khatereh
Bagherzadeh Asl
Department of Environmental Engineering, Faculty of Engineering, Gebze Technical University, 41400, Gebze, Kocaeli, Turkey
author
Samira
Torabi
Griffith Centre for Coastal Management, Griffith University Gold Coast Campus, Queensland 4222, Australia.
author
text
article
2021
per
Purpose: Integrated coastal zone management (ICZM) is the primary way to solve environmental problems. In addition, many countries in the world attempt to provide human needs to coastal region services to reach the natural border of these zones. The primary purpose of this paper is to identify the current situation of pollution in different coastal areas of Mazandaran province and the zoning of areas in terms of environmental pollution. Methodology: In this paper, we first deal with the conceptual framework of ICZM, study the successful examples of its implementation in different countries, and compare them from various aspects. Then, to implement this project on the west coast of Mazandaran province, we will pay attention to the studies related to environmental pollution. Findings: Findings show that in coastal management, all physical, ecological, social, and economic processes that interact on the coast and the sea should be identified, and specific coordination between different users at local, national, regional, and international levels must be created. Furthermore, the successful implementation of ICZM requires more attention to the social and economic conditions of the Caspian littoral states. Originality/Value: We study the characteristics of the west coast of Mazandaran province based on important ecosystems and parameters such as industrial pollutants, soil type, vegetation (sea and land), wildlife, geology, and marine topics (water fluctuations, wave characteristics, etc.) And we analyze the related issues. Finally, to implement the ICZM on the west coast of Mazandaran province, from the point of view of environmental pollution, we investigate the distribution of industrial pollutants in the use of coastal lands up to a radius of three kilometers in the Caspian Sea.
Innovation Management and Operational Strategies
Research Expansion Alliance (REA) on behalf of Ayandegan Institute of Higher Education
2783-1345
1
v.
4
no.
2021
422
449
http://www.journal-imos.ir/article_127316_575fc1b7b6e5f9d33497155069cccffa.pdf
dx.doi.org/10.22105/imos.2021.275615.1036