Pub Date : 2022-04-20DOI: 10.31181/oresta210322091b
Mirza Muhammad Usama Baig, Y. Ali, Obaid ur Rehman
Oil supply chains play a vital role in the day-to-day functioning of national economies and obstruction in its services can lead to dire consequences. For this purpose, it is imperative for oil supply chains to be on guard against all probable vulnerabilities and develop adequate protection mechanisms. This research study aims to identify the most important vulnerabilities for oil supply chains in the context of Pakistan, a developing country. Subsequently, these identified vulnerabilities were used to design a protection framework, embodying different supply chain capabilities. For this purpose, this study employs a hybrid Multi-Criteria Decision Making approach. Full Consistency Method (FUCOM) has been used to prioritise vulnerabilities and Fuzzy Quality Function Deployment (QFD) has been used to identify those capabilities that can ensure protection against these vulnerabilities. Results indicate that crude oil price instability, fuel price shocks, unpredictable demand, and information and communication disruptions are the most important and catastrophic vulnerabilities in the context of Pakistan’s oil industry. For mitigation of these vulnerabilities, oil supply chains need to incorporate real-time information sharing, visibility, e-procurement, traceability, and transparency as resilience measures. These recommendations are of considerable importance to Pakistan’s oil industry and policy-making authorities. Moreover, this study fulfils the research gap by focusing on enhancing the resilience of Pakistan’s oil supply chains, with the aid of MCDM techniques.
{"title":"Enhancing Resilience of Oil Supply Chains in Context of Developing Countries","authors":"Mirza Muhammad Usama Baig, Y. Ali, Obaid ur Rehman","doi":"10.31181/oresta210322091b","DOIUrl":"https://doi.org/10.31181/oresta210322091b","url":null,"abstract":"Oil supply chains play a vital role in the day-to-day functioning of national economies and obstruction in its services can lead to dire consequences. For this purpose, it is imperative for oil supply chains to be on guard against all probable vulnerabilities and develop adequate protection mechanisms. This research study aims to identify the most important vulnerabilities for oil supply chains in the context of Pakistan, a developing country. Subsequently, these identified vulnerabilities were used to design a protection framework, embodying different supply chain capabilities. For this purpose, this study employs a hybrid Multi-Criteria Decision Making approach. Full Consistency Method (FUCOM) has been used to prioritise vulnerabilities and Fuzzy Quality Function Deployment (QFD) has been used to identify those capabilities that can ensure protection against these vulnerabilities. Results indicate that crude oil price instability, fuel price shocks, unpredictable demand, and information and communication disruptions are the most important and catastrophic vulnerabilities in the context of Pakistan’s oil industry. For mitigation of these vulnerabilities, oil supply chains need to incorporate real-time information sharing, visibility, e-procurement, traceability, and transparency as resilience measures. These recommendations are of considerable importance to Pakistan’s oil industry and policy-making authorities. Moreover, this study fulfils the research gap by focusing on enhancing the resilience of Pakistan’s oil supply chains, with the aid of MCDM techniques.","PeriodicalId":36055,"journal":{"name":"Operational Research in Engineering Sciences: Theory and Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48134801","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-04-20DOI: 10.31181/oresta070422211v
Nikolina Vojinovic, Željko Stević, I. Tanackov
Decision-making represents a very popular field with many developed approaches. However, still exists the need for the creation of novel integrated models such as well is the case in this paper. The novel integrated Improved Fuzzy Stepwise Weight Assessment Ratio Analysis (IMF SWARA) method, Fuzzy Dombi weighted geometric averaging (FDWGA) operator and PESTEL (P-Political, E-Economic, S-Social, T-Technological, E-Environmental, L-Legal) model has been developed. Five decision-makers (DMs) have evaluated six main elements of the PESTEL analysis and 30 elements more (five for each group). In total, we have created 35 models based on the developed model. Results of PESTEL analysis based on IMF SWARA method and FDWGA shows that legal and economic factors represent the most significant parameters, while last placed belong environmental group. Also, the usefulness of the developed integrated model has been demonstrated.
{"title":"A Novel IMF SWARA-FDWGA-PESTEL Analysis For Assessment Of Healthcare System","authors":"Nikolina Vojinovic, Željko Stević, I. Tanackov","doi":"10.31181/oresta070422211v","DOIUrl":"https://doi.org/10.31181/oresta070422211v","url":null,"abstract":"Decision-making represents a very popular field with many developed approaches. However, still exists the need for the creation of novel integrated models such as well is the case in this paper. The novel integrated Improved Fuzzy Stepwise Weight Assessment Ratio Analysis (IMF SWARA) method, Fuzzy Dombi weighted geometric averaging (FDWGA) operator and PESTEL (P-Political, E-Economic, S-Social, T-Technological, E-Environmental, L-Legal) model has been developed. Five decision-makers (DMs) have evaluated six main elements of the PESTEL analysis and 30 elements more (five for each group). In total, we have created 35 models based on the developed model. Results of PESTEL analysis based on IMF SWARA method and FDWGA shows that legal and economic factors represent the most significant parameters, while last placed belong environmental group. Also, the usefulness of the developed integrated model has been demonstrated.","PeriodicalId":36055,"journal":{"name":"Operational Research in Engineering Sciences: Theory and Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48317804","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-04-20DOI: 10.31181/oresta250322151a
A. El-Araby, Ibrahim Raad S. Sabry, A. El-Assal
The location selection of facilities became a major interest for the organizations to establish their planned business for a long period of time. The choice of the best location among a set of candidate locations is a complex process. Although the multiple criteria decision making (MCDM) methods are applicable for location selection problems, different solutions can be obtained using different MCDM methods. Thus, a comparative study between four different MCDM methods was applied within numerical example to show the deviations in ranking of the alternatives that occurs when different methods are used. The weights of attributes are assigned using objective method namely Entropy weight method. The rank disagreements are expressed using spearman`s correlation coefficients.
{"title":"A Comparative Study of Using MCDM Methods Integrated with Entropy Weight Method for Evaluating Facility Location Problem","authors":"A. El-Araby, Ibrahim Raad S. Sabry, A. El-Assal","doi":"10.31181/oresta250322151a","DOIUrl":"https://doi.org/10.31181/oresta250322151a","url":null,"abstract":"The location selection of facilities became a major interest for the organizations to establish their planned business for a long period of time. The choice of the best location among a set of candidate locations is a complex process. Although the multiple criteria decision making (MCDM) methods are applicable for location selection problems, different solutions can be obtained using different MCDM methods. Thus, a comparative study between four different MCDM methods was applied within numerical example to show the deviations in ranking of the alternatives that occurs when different methods are used. The weights of attributes are assigned using objective method namely Entropy weight method. The rank disagreements are expressed using spearman`s correlation coefficients.","PeriodicalId":36055,"journal":{"name":"Operational Research in Engineering Sciences: Theory and Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45068512","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-15DOI: 10.31181/oresta111221142c
F. C. Çetinkaya, Mehmet Duman
Lot streaming is splitting a job-lot of identical items into several sublots (portions of a lot) that can be moved to the next machines upon completion so that operations on successive machines can be overlapped; hence, the overall performance of a multi-stage manufacturing environment can be improved. In this study, we consider a scheduling problem with lot streaming in a two-machine re-entrant flow shop in which each job-lot is processed first on Machine 1, then goes to Machine 2 for its second operation before it returns to the primary machine (either Machine 1 or Machine 2) for the third operation. For the two cases of the primary machine, both single-job and multi-job cases are studied independently. Optimal and near-optimal solution procedures are developed. Our objective is to minimize the makespan, which is the maximum completion time of the sublots and job lots in the single-job and multi-job cases, respectively. We prove that the single-job problem is optimally solved in polynomial-time regardless of whether the third operation is performed on Machine 1 or Machine 2. The multi-job problem is also optimally solvable in polynomial time when the third operation is performed on Machine 2. However, we prove that the multi-job problem is NP-hard when the third operation is performed on Machine 1. A global lower bound on the makespan and a simple heuristic algorithm are developed. Our computational experiment results reveal that our proposed heuristic algorithm provides optimal or near-optimal solutions in a very short time.
{"title":"Scheduling with lot streaming in a two-machine re-entrant flow shop","authors":"F. C. Çetinkaya, Mehmet Duman","doi":"10.31181/oresta111221142c","DOIUrl":"https://doi.org/10.31181/oresta111221142c","url":null,"abstract":"Lot streaming is splitting a job-lot of identical items into several sublots (portions of a lot) that can be moved to the next machines upon completion so that operations on successive machines can be overlapped; hence, the overall performance of a multi-stage manufacturing environment can be improved. In this study, we consider a scheduling problem with lot streaming in a two-machine re-entrant flow shop in which each job-lot is processed first on Machine 1, then goes to Machine 2 for its second operation before it returns to the primary machine (either Machine 1 or Machine 2) for the third operation. For the two cases of the primary machine, both single-job and multi-job cases are studied independently. Optimal and near-optimal solution procedures are developed. Our objective is to minimize the makespan, which is the maximum completion time of the sublots and job lots in the single-job and multi-job cases, respectively. We prove that the single-job problem is optimally solved in polynomial-time regardless of whether the third operation is performed on Machine 1 or Machine 2. The multi-job problem is also optimally solvable in polynomial time when the third operation is performed on Machine 2. However, we prove that the multi-job problem is NP-hard when the third operation is performed on Machine 1. A global lower bound on the makespan and a simple heuristic algorithm are developed. Our computational experiment results reveal that our proposed heuristic algorithm provides optimal or near-optimal solutions in a very short time.","PeriodicalId":36055,"journal":{"name":"Operational Research in Engineering Sciences: Theory and Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46943118","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-15DOI: 10.31181/oresta091221107a
B. Adhikari, Ajay Behera, Rabindra Mahapatra, H. Das
The effects of cell phone use on motorcycle riders’ behaviour are studied in smart city, Bhubaneswar, capital of state odisha, India. Most of motorcycle riders confess using cell phone devices while driving. Moreover, relationship between near miss and accidents has been found with the use of cell phone, reflecting a risk factor for motorcycle riders.“ This study examines the relationship between such type of behaviours, comprising calling and manipulating the screen, and the frequency of near miss and actual accidents among motorcycle riders. We conducted a web based survey measuring cell phone-specific violations, human errors, near miss and accident to motorcycle riders (N=289; age range; 18-60). We hypothesized that the relationship between cell phone use and near miss would be explained by an increase in the number of human errors committed, thus increasing the likelihood of being involved in near miss. Moreover, we hypothesized that near miss will predict actual accidents. Outcomes of path analysis showed that cell phone-specific violations predicted accidents throughout their consecutive effects on human errors and near miss only in the subsample of men. These findings offer an explanation of how cell phone use contributes to increase the likelihood of getting involved in near miss and actual accidents. The current study builds a path model explaining how cell phone-specific violations lead to more near miss among motorcycle riders.
{"title":"Cell Phone Related Violations and Motorcycle Accidents: A Bayesian Approach","authors":"B. Adhikari, Ajay Behera, Rabindra Mahapatra, H. Das","doi":"10.31181/oresta091221107a","DOIUrl":"https://doi.org/10.31181/oresta091221107a","url":null,"abstract":"The effects of cell phone use on motorcycle riders’ behaviour are studied in smart city, Bhubaneswar, capital of state odisha, India. Most of motorcycle riders confess using cell phone devices while driving. Moreover, relationship between near miss and accidents has been found with the use of cell phone, reflecting a risk factor for motorcycle riders.“ This study examines the relationship between such type of behaviours, comprising calling and manipulating the screen, and the frequency of near miss and actual accidents among motorcycle riders. We conducted a web based survey measuring cell phone-specific violations, human errors, near miss and accident to motorcycle riders (N=289; age range; 18-60). We hypothesized that the relationship between cell phone use and near miss would be explained by an increase in the number of human errors committed, thus increasing the likelihood of being involved in near miss. Moreover, we hypothesized that near miss will predict actual accidents. Outcomes of path analysis showed that cell phone-specific violations predicted accidents throughout their consecutive effects on human errors and near miss only in the subsample of men. These findings offer an explanation of how cell phone use contributes to increase the likelihood of getting involved in near miss and actual accidents. The current study builds a path model explaining how cell phone-specific violations lead to more near miss among motorcycle riders.","PeriodicalId":36055,"journal":{"name":"Operational Research in Engineering Sciences: Theory and Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43553997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-15DOI: 10.31181/oresta20402039w
Sugiri Widjajanto, E. Rimawan
Full attention is paid to quality in manufacturing; however, less effort is made to develop the organizational performance, which drives overall manufacturing quality. This research measures performance of one manufacturing company that in 2020 experienced surging in demand and experiencing barriers to social activities due to the pandemic. The evaluation was carried out using seven variables from the Malcolm Baldrige Criteria for Performance Excellence (MBCfPE) which were elaborated into 43 indicators of organizational performance. Weaknesses and strengths of organizational performance were sharpened through focus group discussions with experts and ended with a performance improvement solution with a priority rank based on risk priority numbers (RPN) of the FMEA method. The highest RPN is 567 and 432, respectively, for national standard implementation in a particular product and operational scheme during emergency conditions like the Cov-19 pandemic. This study contributes to Indonesian research that combines questionnaires and FMEA improvement analysis based on the US Baldrige criterion.
{"title":"Modified Failure Mode and Effect Analysis Approaching to Improve Organization Performance based on Baldrige Criteria- A Case Study of AN Electro-medic Industry","authors":"Sugiri Widjajanto, E. Rimawan","doi":"10.31181/oresta20402039w","DOIUrl":"https://doi.org/10.31181/oresta20402039w","url":null,"abstract":"Full attention is paid to quality in manufacturing; however, less effort is made to develop the organizational performance, which drives overall manufacturing quality. This research measures performance of one manufacturing company that in 2020 experienced surging in demand and experiencing barriers to social activities due to the pandemic. The evaluation was carried out using seven variables from the Malcolm Baldrige Criteria for Performance Excellence (MBCfPE) which were elaborated into 43 indicators of organizational performance. Weaknesses and strengths of organizational performance were sharpened through focus group discussions with experts and ended with a performance improvement solution with a priority rank based on risk priority numbers (RPN) of the FMEA method. The highest RPN is 567 and 432, respectively, for national standard implementation in a particular product and operational scheme during emergency conditions like the Cov-19 pandemic. This study contributes to Indonesian research that combines questionnaires and FMEA improvement analysis based on the US Baldrige criterion.","PeriodicalId":36055,"journal":{"name":"Operational Research in Engineering Sciences: Theory and Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48270069","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-15DOI: 10.31181/oresta091221082a
Y. Ali, Manzoor Ahmad, Muhammad Sabir, S. A. Shah
Pakistan is working on two pipeline projects, namely, Iran-Pakistan-India (IPI) and Turkmenistan-Afghanistan-Pakistan-India (TAPI) gas pipelines, to meet its energy supply-demand gap. This study's aims to compare these two projects and identify the most suitable option for Pakistan. Furthermore, as the TAPI project is progressing faster than the IPI project, this study also aims to identify the critical activities associated with TAPI projects. Finally, a model is proposed to optimize the material and transportation costs related to the TAPI project. The study's contribution by using fuzzy set theory-based multi-criteria decision-making (Fuzzy MCDM) to compare two projects along with usage of the Fuzzy Critical Path Method (FCPM) for the identification of critical activities associated with the TAPI project. Finally, the Genetic Algorithm is applied to optimize the material and transportation costs of the TAPI project. The results show that IPI has advantages over TAPI in terms of power generation, transportation cost, transits fee, and gas prices. The critical path analysis of the TAPI gas pipeline shows that it will take approximately 75 to 330.5 weeks to complete. The study is useful for the managers who have to work in these projects, the policymakers considering these projects at various levels, and the researcher having an interest in applying Fuzzy set theory with MCDM, CPM, and in the context of the energy infrastructure.
{"title":"Regional development through energy infrastructure: A comparison and optimization of Iran-Pakistan-India (IPI) & Turkmenistan- Afghanistan-Pakistan-India (TAPI) gas pipelines","authors":"Y. Ali, Manzoor Ahmad, Muhammad Sabir, S. A. Shah","doi":"10.31181/oresta091221082a","DOIUrl":"https://doi.org/10.31181/oresta091221082a","url":null,"abstract":"Pakistan is working on two pipeline projects, namely, Iran-Pakistan-India (IPI) and Turkmenistan-Afghanistan-Pakistan-India (TAPI) gas pipelines, to meet its energy supply-demand gap. This study's aims to compare these two projects and identify the most suitable option for Pakistan. Furthermore, as the TAPI project is progressing faster than the IPI project, this study also aims to identify the critical activities associated with TAPI projects. Finally, a model is proposed to optimize the material and transportation costs related to the TAPI project. The study's contribution by using fuzzy set theory-based multi-criteria decision-making (Fuzzy MCDM) to compare two projects along with usage of the Fuzzy Critical Path Method (FCPM) for the identification of critical activities associated with the TAPI project. Finally, the Genetic Algorithm is applied to optimize the material and transportation costs of the TAPI project. The results show that IPI has advantages over TAPI in terms of power generation, transportation cost, transits fee, and gas prices. The critical path analysis of the TAPI gas pipeline shows that it will take approximately 75 to 330.5 weeks to complete. The study is useful for the managers who have to work in these projects, the policymakers considering these projects at various levels, and the researcher having an interest in applying Fuzzy set theory with MCDM, CPM, and in the context of the energy infrastructure.","PeriodicalId":36055,"journal":{"name":"Operational Research in Engineering Sciences: Theory and Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45096673","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-15DOI: 10.31181/oresta20403001s
Amalina Shadrina, Zulfa Fitri Ikatrinasari
This study was conducted to analyze the quality of e-commerce websites, find out which items need improvement, and make improvement design e-commerce websites. This study uses the kano model and Importance Performance Analysis approach based on 7 dimensions with 39 attributes. This study used the survey results from 103 respondents who regularly use the e-commerce website Tokopedia.com. The results of the questionnaire through the validity and reliability tests were used to analyze the reliability of items and the feasibility of the results of the questionnaire. After that, the results of the questionnaire through the corellation and hypothesis tests were used to know the relationship between variables. The findings show that 7 attributes influence customer satisfaction. However, the findings are still nowhere near the expectations. Thus, it requires being the focus of improvement. Improvements in design of 7 attributes in the form of House of Quality with 6 technical features needed to improve the quality of e-commerce website Tokopedia.com. Therefore, effective management strategies can be applied to overcome the intense competition in the e-commerce industry.
本研究旨在分析电子商务网站的质量，找出需要改进的项目，并对电子商务网站进行改进设计。本研究采用kano模型和基于7个维度、39个属性的重要性绩效分析方法。这项研究使用了103名经常使用电子商务网站Tokopedia.com的受访者的调查结果。问卷通过效度和信度检验的结果用于分析问卷项目的信度和问卷结果的可行性。然后，通过相关检验和假设检验，利用问卷的结果来了解变量之间的关系。研究结果表明，有7个属性影响顾客满意度。然而，研究结果与预期相差甚远。因此，它需要成为改进的焦点。提高电子商务网站Tokopedia.com质量所需的6个技术特征，以House of Quality的形式改进7个属性的设计因此，可以采用有效的管理策略来克服电子商务行业的激烈竞争。
{"title":"Quality improvement of the e-commerce website using integration of Kano model-ipa with QFD approach","authors":"Amalina Shadrina, Zulfa Fitri Ikatrinasari","doi":"10.31181/oresta20403001s","DOIUrl":"https://doi.org/10.31181/oresta20403001s","url":null,"abstract":"This study was conducted to analyze the quality of e-commerce websites, find out which items need improvement, and make improvement design e-commerce websites. This study uses the kano model and Importance Performance Analysis approach based on 7 dimensions with 39 attributes. This study used the survey results from 103 respondents who regularly use the e-commerce website Tokopedia.com. The results of the questionnaire through the validity and reliability tests were used to analyze the reliability of items and the feasibility of the results of the questionnaire. After that, the results of the questionnaire through the corellation and hypothesis tests were used to know the relationship between variables. The findings show that 7 attributes influence customer satisfaction. However, the findings are still nowhere near the expectations. Thus, it requires being the focus of improvement. Improvements in design of 7 attributes in the form of House of Quality with 6 technical features needed to improve the quality of e-commerce website Tokopedia.com. Therefore, effective management strategies can be applied to overcome the intense competition in the e-commerce industry.","PeriodicalId":36055,"journal":{"name":"Operational Research in Engineering Sciences: Theory and Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46032650","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-15DOI: 10.31181/oresta111221122m
P. Meena, A. Sharma, G. Kumar
Inventory management is an extremely difficult task. It has become usual practice for a provider during the last few decades to provide a retailer with a credit term. In this article, a non-instantly degradable products inventory system is built with a price-sensitive demand and a Weibull credit term allocation reduction rate. Some backlogged deficiencies are permitted. The aim is to maximize the total profit in this study by taking three cases into account. Numerical examples, graphical representations and sensitivity analysis demonstrate the application of the approach developed in this study.
{"title":"Control of Non-instantaneous Degrading Inventory under Trade Credit and Partial Backlogging","authors":"P. Meena, A. Sharma, G. Kumar","doi":"10.31181/oresta111221122m","DOIUrl":"https://doi.org/10.31181/oresta111221122m","url":null,"abstract":"Inventory management is an extremely difficult task. It has become usual practice for a provider during the last few decades to provide a retailer with a credit term. In this article, a non-instantly degradable products inventory system is built with a price-sensitive demand and a Weibull credit term allocation reduction rate. Some backlogged deficiencies are permitted. The aim is to maximize the total profit in this study by taking three cases into account. Numerical examples, graphical representations and sensitivity analysis demonstrate the application of the approach developed in this study.","PeriodicalId":36055,"journal":{"name":"Operational Research in Engineering Sciences: Theory and Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43544102","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-15DOI: 10.31181/oresta20402021k
Çağlar Karamaşa, M. Ergün, Bayezid Gülcan, Selçuk Korucuk, Saliha Memiş, D. Vojinović, Herzegovina.
The deterioration of environmental factors, economic and technological development, the formation of complexity in societies, the rise of complex structures have made the environment and green management practices more important. Especially value-creating green approaches are considered as critical components in both public and private sector applications and defined as indicators of success in terms of sustainability. On the other hand, green marketing strategies are also important practices that have a positive impact on the environment and should be carefully emphasized for the inheritance of nature to future generations. Recently, it has been on the agenda quite a lot and it is understood for all sectors.In this study, it is aimed to determine the criteria for value-creating green approach practices in logistics companies operating in the TR A1 region due to the above mentioned importance and to choose the most ideal green marketing strategy. In solving this problem, Multi Criteria Decision Making (MCDM) methods, which are a complex decision-making method, have been used. According to the results of the research, it was determined that the most important criterion in value creating green approach applications as Environmental Focused Strategic Decisions (C3), and the least important criterion as Environmental Life Cycle Analysis (C2). It has been determined that the most ideal green marketing strategy is Green Innovation (A1). Accordingly the importance of the environmental based strategic decisions is revealed in terms of creating green marketing strategy for companies.
{"title":"Rankıng value-creatıng green approach practıces and choosıng ıdeal green marketıng strategy for logıstıcs companıes","authors":"Çağlar Karamaşa, M. Ergün, Bayezid Gülcan, Selçuk Korucuk, Saliha Memiş, D. Vojinović, Herzegovina.","doi":"10.31181/oresta20402021k","DOIUrl":"https://doi.org/10.31181/oresta20402021k","url":null,"abstract":"The deterioration of environmental factors, economic and technological development, the formation of complexity in societies, the rise of complex structures have made the environment and green management practices more important. Especially value-creating green approaches are considered as critical components in both public and private sector applications and defined as indicators of success in terms of sustainability. On the other hand, green marketing strategies are also important practices that have a positive impact on the environment and should be carefully emphasized for the inheritance of nature to future generations. Recently, it has been on the agenda quite a lot and it is understood for all sectors.In this study, it is aimed to determine the criteria for value-creating green approach practices in logistics companies operating in the TR A1 region due to the above mentioned importance and to choose the most ideal green marketing strategy. In solving this problem, Multi Criteria Decision Making (MCDM) methods, which are a complex decision-making method, have been used. According to the results of the research, it was determined that the most important criterion in value creating green approach applications as Environmental Focused Strategic Decisions (C3), and the least important criterion as Environmental Life Cycle Analysis (C2). It has been determined that the most ideal green marketing strategy is Green Innovation (A1). Accordingly the importance of the environmental based strategic decisions is revealed in terms of creating green marketing strategy for companies.","PeriodicalId":36055,"journal":{"name":"Operational Research in Engineering Sciences: Theory and Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44956124","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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