Amir Mehdiabadi; Adel Azar; AbuTurab Alirezaee; Ghanbar Abbaspour Esfeden
Abstract
The Soft System Methodology (SSM), one of the OR techniques, is used tosolve complex real-world problems. Since to design of the after-sales servicemodels for the liquefied gas industry, various groups, such as refineries,mopeds, silencers, taps, standardized organizations, and the consumer rightsprotection ...
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The Soft System Methodology (SSM), one of the OR techniques, is used tosolve complex real-world problems. Since to design of the after-sales servicemodels for the liquefied gas industry, various groups, such as refineries,mopeds, silencers, taps, standardized organizations, and the consumer rightsprotection organization should be considered, so decision making in thissituations are very complicated issue. In this study, using the aboveapproach, the problem of non-structured model design at the world-classlevel is explained and then, by specifying its boundaries, the image of thevarious actors of the system and their benefits are depicted. In the third step,the CATWOE approach is used to explain the basic definition of the aftersales service model in this industry, and in the fourth stage, a conceptualmodel of activities is presented using the root definition. This paper usesintegration of ISM-Fuzzy Delphi in the process of problem solving. In thefifth step, the developed model is compared with the real world. In the sixthstage, desirable and feasible changes were identified and explained by theIPA method. Finally, using the results of the previous stages, andsuggestions for the development of the model to reach the world class levelare presented to the authorities and stakeholders.
modeling and simulation
Navid Nadimi; Abbas Toloei Eshlaghy; Mohammad Ali Afshar kazemi
Abstract
With the tremendous progress in communications in the world, the transformation andbehavior of mobile operators and their digitalization, which in the past were onlyservice providers, as well as the creation of different experiences for customers, isinevitable.The purpose of this study is to create a ...
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With the tremendous progress in communications in the world, the transformation andbehavior of mobile operators and their digitalization, which in the past were onlyservice providers, as well as the creation of different experiences for customers, isinevitable.The purpose of this study is to create a hybrid simulation of systemdynamics and agent based model in order to analyze the revenue of the first operator inthe country to enter the field of digital platform and development of nativeapplications. Using the model proposed, first operators need to enter the digital areaand produce native applications was expressed. Then, the factors that affect the mobileecosystem which, affect the production of applications and the development ofrequired platforms were described. By utilizing hybrid simulation of system dynamicsand agent based modeling, the income of mobile operator in entering and not enteringthe digital arena and producing native applications were examined. The results showthat with the entry of the operator into the field of production of native applicationsand the adoption of digital approach, consumers tended to use more data services, butdue to different tariffs for data and voice, the operator's income up to 2 Next years willnot change much.
Mohammad Nikzamir; vahid baradaran; Yunes Panahi
Abstract
Health care solid wastes include all types of waste that are produced as a result ofmedical and therapeutic activities in hospitals and health centers. About 15% to20% of these waste materials are infectious waste, which falls within the categoryof hazardous materials. Infectious waste is the one that ...
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Health care solid wastes include all types of waste that are produced as a result ofmedical and therapeutic activities in hospitals and health centers. About 15% to20% of these waste materials are infectious waste, which falls within the categoryof hazardous materials. Infectious waste is the one that must be treated beforedisposal or recycling. Hence, this paper seeks to develop a bi-objective mixedinteger programming model for the infectious waste management. In the proposedmodel, in addition to minimizing the chain costs, the reduction of risks for thepopulation exposed to the spread of contamination resulting from infectious wasteis also considered. For this purpose, a multi-echelon chain is proposed by takinginto account the green location-routing problem, which involves the location ofrecycling, disposal, and treatment centers through various treatment technologiesand routing of vehicles between treatment levels and the hospital. The routingproblem has been considered to be multi-depot wherein the criterion of reducingthe cost of fuel consumption of heterogeneous cars is used for green routing.Finally, a hybrid meta-heuristic algorithm based on ICA and GA is developedand, following its validation, its function in solving large-scale problems has beeninvestigated. Results show that the proposed algorithm is effective and efficient.
Mohsen Rajabzadeh; Shaban Elahi; Alireza Hasanzadeh; Mohammad mehrain
Abstract
Studies show that there are shortcomings in the deployment of the Internet ofThings (IoT) in the supply chain of agricultural products, especially in thefield of quality control in the logistics sector, and researchers can model theexisting theoretical gaps through modeling and optimization. Therefore, ...
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Studies show that there are shortcomings in the deployment of the Internet ofThings (IoT) in the supply chain of agricultural products, especially in thefield of quality control in the logistics sector, and researchers can model theexisting theoretical gaps through modeling and optimization. Therefore, thepurpose of this paper is to identify the most important categories affectingthe deployment of the Internet of Things in the wheat supply chain storagesector and explain and mapping the relationship between these categories.For this purpose, the present article uses meta-synthesis method by searchingWeb of Science and Scopus citation databases. Then, the grounded theorycoding procedures were used to determine categories and themes. Finally,the results of meta-synthesis lead to the identification and extraction of 3macro categories; IoT technology, the main category (IoT-based storage),and the results and consequences of IoT deployment.
Ramin Saedinia; Behnam Vahdani; Farhad Etebari; Behroz Afshar Nadjafi
Abstract
One of the most important approaches that can lead to the creation of various advantagesfor enterprises is the districting regions into the service offering locations and the demandunits, which causes the increase in level of customers’ access to get the service. On theother hand, if vehicle routing ...
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One of the most important approaches that can lead to the creation of various advantagesfor enterprises is the districting regions into the service offering locations and the demandunits, which causes the increase in level of customers’ access to get the service. On theother hand, if vehicle routing is carried out in districting regions in order to deliver productsto customers, the planning of customer service can be improved. However, in none of theresearch conducted in the area of design supply chain, vehicle routing in districting regionshas been not investigated. Therefore, in the current study, a bi-objective mathematicalmodel is presented to simultaneously focus on districting regions, facility location–allocation, service sharing, intra-district service transfer and vehicle routing. The firstobjective function minimizes the total cost of designing the CLSC network, which includescosts of opening facility and vehicle routing. The second objective function minimizes themaximum volume of surplus demand from service providers in order to achieve anappropriate balance in demand volume across all regions. Moreover, a robust optimizationapproach is used to take into account uncertainty in some parameters of the proposedmodel. In addition, the validity of the proposed mathematical model and the proposedsolution has been investigated on a real case in the oil and gas industry.
S.jamal’aldin Hosseini; Jalal Rezaeenour; mohammad masoumi; Amir Hosein Akbari
Abstract
One Knowledge Management (KM) as one of the Supply Chain performanceimprovement factors can be strengthened through frameworks like EFQM ExcellenceModel in order to achieve competitive advantage. First, the KM enablers in SC areclassified based on EFQM enabler criteria. Then, the importance of each KM ...
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One Knowledge Management (KM) as one of the Supply Chain performanceimprovement factors can be strengthened through frameworks like EFQM ExcellenceModel in order to achieve competitive advantage. First, the KM enablers in SC areclassified based on EFQM enabler criteria. Then, the importance of each KM enabler isevaluated by fuzzy DEMATEL-ANP. In addition, Analytical Hierarchy Process (AHP) isapplied to evaluate the importance of each KM enabler in knowledge sharing amongsupply chain people. In the research, the multi-objective mixed integer programming isused to optimize knowledge management and select KM strategy in each part of SC.Likewise, it is approved to select suitable members of SC for Research and Development(R&D) unit of SC. Results show that each part of SC should focus on developing someKM enablers, and selection of a suitable strategy. These results also emphasis theeffectiveness of each KM enabler and their development in selecting of suitable membersfor R&D unit of SC.
Mohammadreza Dabiri; Mehdi Yazdani; bahman naderi; Hasan Haleh
Abstract
In the real world, firms with hybrid flow-shop manufacturing environment generally facethe human resource constraint, salary cost increasment and efforts to make better use oflabor, in addition to machine constraint. Given the limitations of these resources, productdelivery requierements to customers ...
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In the real world, firms with hybrid flow-shop manufacturing environment generally facethe human resource constraint, salary cost increasment and efforts to make better use oflabor, in addition to machine constraint. Given the limitations of these resources, productdelivery requierements to customers have made the job rejection essential in order to meetdistinct customer requirements. Therefore, this research has studied the dual resourceconstrained hybrid flow-shop scheduling problem with job rejection in order to minimizethe total net cost (the sum of the total rejection cost and the total tardiness cost of jobs)which is widely used in many industries. In this article, a mixed integer linear programmingmodel has developed for the research problem. In addition, an improved sooty ternoptimization algorithm (ISTOA) has proposed to solve the large-sized problems as well asa decoding method due to the NP-hardness of the problem. In order to evaluate theproposed optimization algorithm, five well-known algorithms in the literature including(immunoglobulin-based artificial immune system (IAIS), genetic algorithm (GA), discreteartificial bee colony (DABC), improved fruit fly optimization (IFFO), effective modifiedmigrating birds optimization (EMBO)) have adapted with the proposed problem. Finally,the performance of the proposed optimization algorithm has investigated against theadapted algorithms. Results and evaluations show the good performance of the improvedsooty tern optimization algorithm.
