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1 - A New Production-Inventory Planning Model for Joint Growing and Deteriorating Items http://www.ijsom.com/article_2802.html 10.22034/ijsom.2020.1.1 1 The production-inventory models are traditionally adopted for manufacturing systems. A relatively new area of production-inventory planning is related to livestock growing process. This research aims to propose a class of production-inventory model for new items titled growing items. In such a case, a rancher orders a quantity of newborn livestock like chicks or lambs, grow them to an appropriate weight during the growing period, slaughter them and then sells them to the meat market. The goal is to calculate the economic order quantity of the growing items at the start of a growing cycle, the optimal length of the growing cycle and the optimal total profit. We, in this research, extend the previous work to the case of joint growing and deteriorating items, where livestock grows at growing period, and, additionally, the slaughtered livestock may be deteriorated during the sales period. Moreover, since some amount of slaughtered livestock is waste and should be disposed, a weight reduction factor is considered when livestock is slaughtered. The inventory models are constructed for this case, a heuristic solution algorithm is presented, a numerical example is discussed, and finally, sensitivity analysis is carried out to investigate the applicability of the problem. 0 - 1 16 - - Hadi Mokhtari Department of Industrial Engineering, University of Kashan, Kashan, Iran Iran mokhtari_ie@kashanu.ac.ir - - Ali Salmasnia Department of Industrial Engineering, University of Qom, Qom, Iran Iran a.salmasnia.85@gom.ac.ir - - Javad Asadkhani Department of management, Faculty of Humanities, University of Kashan, Kashan, Iran Iran asadkhanijk@gmail.com Production-Inventory systems Growing items Deterioration Livestock Reduction factor Bai, O., Chen, M., Xu, L. (2017) Revenue and promotional cost-sharing contract versus two-part tariff contract in coordinating sustainable supply chain systems with deteriorating items, International Journal of Production Economics, Vol. 187, pp. 85–101.##Balkhi, Z., (2011). Optimal economic ordering policy with deteriorating items under different supplier trade credits for finite horizon case. International Journal of Production Economics, Vol. 133, pp. 216–223.##Bansal, K.K., (2013). Inventory model for deteriorating items with the effect of inflation. International Journal of Application and Innovation in Engineering and Management, Vol. 2(5), pp. 143-150.##Bhaula, B., and Kumar, M.R., (2014). An economic order quantity model for weibull deteriorating items with stock dependent consumption rate and shortages under inflation. International Journal of Computing and Technology, Vol. 1(5), pp. 196-204.##Chen, T.-H., (2017). Optimizing pricing, replenishment and rework decision for imperfect and deteriorating items in a manufacturer-retailer channel, International Journal of Production Economics, Vol. 183, pp. 539–550.##Giri, B.C. Sharma, S. (2015) An integrated inventory model for a deteriorating item with allowable shortages and credit linked wholesale price, Optimization Letters, Vol. 9, pp. 1149-1175.##Goyal, S.K., Giri, B.C., (2001). Recent trends in modeling of deteriorating inventory. European Journal of Operational Research, Vol. 134, pp. 1–16.##Jaggi, C.K. Eduardo Cárdenas-Barrón, L., Tiwari, S., Shafi, A.A., (2016) Two-warehouse inventory model for deteriorating items with imperfect quality under the conditions of permissible delay in payments, Scientia Iranica, In Press.##Janssen, L., Claus, T., Sauer, J. (2016). Literature review of deteriorating inventory models by key topics from 2012 to 2015, International Journal of Production Economics, Vol. 182, pp. 86–112.##Kouki, C., Zied Babai, M., Jemai, Z., Minner, S. (2016) A Coordinated Multi-Item Inventory System for Perishables with Random Lifetime, International Journal of Production Economics, In-Press.##Li, N., Chan, F.T.S., Chung, S.H., Tai, A.H. (2015). An EPQ model for deteriorating production system and items with rework, Mathematical Problems in Engineering, pp. 1-10.##Rezaei, J., (2014). Economic order quantity for growing items, International Journal of Production Economics, Vol. 155, pp. 109–113.##Teimoury, E., and Kazemi, S.M.M., (2016). An Integrated Pricing and Inventory Model for Deteriorating Products in a two stage supply chain under Replacement and Shortage, Scientia Iranica, In Press.##
1 - An Integrated Model of Fuzzy AHP/Fuzzy DEA for Measurement of Supplier Performance: A Case Study in Textile Sector http://www.ijsom.com/article_2803.html 10.22034/ijsom.2020.1.2 1 Competition between supply chains of businesses reveals the importance of supplier selection and performance evaluation when the current state of the international markets and the global economy are taken into consideration. As in many other sectors, it is also very important for companies in the textile sector to use their resources more efficiently and constantly evaluate their suppliers in order to compete with their competitors. In this study, the performance of 16 common fiber suppliers of five different companies that are operate in one of subsector of textile sector namely the blanket sector have been measured and evaluated using fuzzy analytic hierarchy process (FAHP) and fuzzy data envelopment analysis (FDEA) methods. Criteria, which are weighted by FAHP method have been selected as the input and output variables to be used in FDEA. The fuzzy efficiency of supplier firms at different cut levels has been measured by FDEA. Efficient and inefficient suppliers have been identified as a result of efficiency measurement. Finally, a general discussion of the findings and directions for future research has been provided. 0 - 17 38 - - Yusuf Ersoy Scientific Research Projects Coordination Unit, Uşak University, Uşak, Turkey Turkey yusuf.ersoy@usak.edu.tr - - Nuri Özgür Dogan Faculty of Economics and Administrative Sciences, Nevşehir Hacı Bektaş Veli University, Nevşehir, Turkey Turkey nodogan@nevsehir.edu.tr Efficiency Fuzzy AHP Fuzzy DEA Logistics Supply chain Textile Acar, A.Z., Onden İ., and Gurel O. (2016). Evaluation of the Parameters of the Green Supplier Selection Decision in Textile Industry. FIBRES & TEXTILES in Eastern Europe, Vol. 24(5), pp. 8-14.##Akman, G., and Alkan A. (2006). 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1 - Modeling Portfolio Optimization based on Fundamental Analysis using an Expert System in the Real Estate Industry http://www.ijsom.com/article_2804.html 10.22034/ijsom.2020.1.3 1 Models of decision making optimization in the stock market have been challenged and evaluated by researchers in recent years. Financial and economic knowledge alone will not allow to analyze and facilitate decision making and to determine the appropriate strategy, and one of the most important obstacles in this regard is the complexity of tools and methods of analysis and modeling. The multiplicity of indicators and financial ratios on the one hand and the breadth of data on the other hand are the most important obstacles in the behavioral analysis of financial markets. Accordingly, the present study aims to model the decision-making process in financial markets. In this research, a different approach is presented in conceptual modeling by combining methods and tools of artificial intelligence with financial issues. Based on this, the portfolio will be optimized by extracting appropriate financial ratios considering the effect of time, and then modeling them in a technical expert system assuming a neutral risk investor. In addition to trying to conclude and analyze based on the realities of the stock market fundamental analysis, the system rules and the classification of companies are also distinguished from similar studies based on the dynamics of the stock market. The proposed model has been implemented using the data of companies in the real estate industry during 2007-2018. The results indicate the proper performance of the proposed model and that it has the appropriate flexibility to decide and select a portfolio. 0 - 39 50 - - Mohamad Reza Amin Naseri Faculty of Industrial Engineering, Tarbiat Modares University, Tehran, Iran Iran amin_nas@modares.ac.ir - - Farimah Mokhatab Rafiee Faculty of Industrial Engineering, Tarbiat Modares University, Tehran, Iran Iran f.mokhatab@modares.ac.ir - - Shadi Khalil Moghadam Faculty of Industrial Engineering, Tarbiat Modares University, Tehran, Iran Iran sh.moghadam@modares.ac.ir portfolio optimization rule-based expert system fundamental analysis Abadian, M., Shajari, H. (2017). Multi-index method for selecting optimal portfolios using fundamental analysis variables in the member's petrochemical companies. Quarterly journal of financial engineering and securities management, Vol. 1(26), pp. 1-25. (In Persian)##Almahdi, S., Yang, S. Y. (2019). 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(In Persian)##Fasanghari, M., Montazer, G.A. (2010). Design and implementation of fuzzy expert system for Tehran Stock Exchange portfolio recommendation, Expert Systems with applications, Vol. 37, pp. 6138-6147.##Garcia-Galicia, M., Carsteanu, A. A., Clempner, J. B. (2019), Continuous-time reinforcement learning approach for portfolio management with time penalization,, Expert Systems with Applications, Vol. 129, pp. 27-36.##Garkaz, M., Abasi, A., Moghadasi, M. (2011). Selection and optimization of portfolios using genetic algorithms based on different definitions of risk, Journal of Industrial Management Faculty of Humaities, Vol. 5(11), pp. 115-136. (In Persian)##Hadavandi, Esmaeil; Shavandi, Hassan; Ghanbari, Arash (2010). Integration of genetic fuzzy systems and artificial neural networks for stock price forecasting, Knowledge-Based Systems, Vol. 8(23), pp. 800-808.##Kamley, S., Jaloree, S., Saxena, K., Thakur, R.S. (2015). Forward Chaining and Backward Chaining: Rule Based Expert System Approaches for Share Forecasting and Knowledge Representation. Presented for 7th International Conference on Quality, Reliability, Infocom Technology and Business Operations (ICQRIT), Sponsored by Springer, University of Delhi, 28-30 Dec, 2015.##Kamley, S., Thakur, R. S. (2015). Rule Based Approach for Stock Selection: An Expert System. International Journal of Computing Algorithm (IJCOA), Vol. (4)1, pp. 15-18.##Lai, K. K., Yu, L., Wang, S. & Zhou, C. (2006), A Double-Stage Genetic Optimization Algorithm for Portfolio Selection, ICONIP 2006, part 3, LNCS 4234, 928-937.##Masehian, E., Eghbal Akhlaghi, V., Akbaripour, H., Sedighizade, D. (2015). An Expert System for Intelligent Selection of Proper Particle Swarm Optimization Variants, International Journal of Supply and Operations Management (IJSOM), Vol. 2(1), pp. 569-594.##Raghu, P. (1994). Fundamental Analysis for Investors.##Rouzbahani, M. (2007), Design, create and develop a shell for expert systems called FOOPES with fuzzy, object-oriented, probabilistic (uncertainty) facilities, master’s thesis, Tarbiat modares University, Tehran, Iran. Supervisor: Mohamad reza Amin naseri.##Slimani, I., El Farissi, I., Achchab, S. (2017). The Comparison of Neural Networks’ Structures for Forecasting, International Journal of Supply and Operations Management (IJSOM), Vol. 4(2), pp. 105-114.##Velumoni, D., Rau, S. S. (2016). Cognitive Intelligence based Expert System for Predicting Stock Markets using Prospect Theory, Indian Journal of Science and Technology, Vol. 9(10), pp. 1-6.##Xidonas, P., Askounis, D., Psarras, J. (2009). Common Stock Portfolio Selection: a Multiple Criteria Decision Making Methodology and an Application to the Athens Stock Exchange, Operational Research, Vol. 9(1), pp. 55-79.##Yunusoglu, M. G., Selim, H. (2013). 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1 - A Multi-Objective Optimization Model for the Resilience and Sustainable Supply Chain: A Case Study http://www.ijsom.com/article_2805.html 10.22034/ijsom.2020.1.4 1 In this research, a real case study of the natural gas supply chain has been investi-gated. Using concepts related to natural gas industry and the relations among the components of gas and oil wells, refineries, storage tanks, dispatching, transmission and distribution network, a seven-level supply chain has been offered and presented schematically. The aim of this paper is to optimize a case study using a multi-objective and multi-period model considering maximize the total revenue, minimize the economic and environmental costs, minimize the penalty per underutilized capac-ity and maximize the service level. A small-sized model was verified and solved using an improved augmented ε-constraint algorithm to generate Pareto optimal solutions and assessed trade-offs among objectives in order to help decision makers make an optimal decision. To the best of our knowledge, this is the first study that presents a multi-objective optimization model for the resilience and sustainable supply chain. 0 - 51 75 - - Mohammad Reza zamanian Department of management, college of human science, Saveh Branch, Islamic Azad University, Saveh, Iran Iran zamanian.2000@yahoo.com - - Ehsan Sadeh Department of management, college of human science, Saveh Branch, Islamic Azad University, Saveh, Iran Iran e.sadeh@yahoo.com - - Zeinolabedin Amini Sabegh Department of management, college of human science, Saveh Branch, Islamic Azad University, Saveh, Iran Iran drsajadamini@yahoo.com - - Reza Ehtesham Rasi Department of Industrial Management, Qazvin Branch, Islamic Azad University, Qazvin, Iran Iran rezaehteshamrasi@gmail.com Resilience Sustainable Supply chain Multi-Objective Optimization Al-Sobhi, S.A., Elkamel, A.,(2015). 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1 - Modelling the Barriers in Managing Closed Loop Supply Chains of Automotive Industries in Bangladesh http://www.ijsom.com/article_2806.html 10.22034/ijsom.2020.1.5 1 Closing the supply chain loop at the end of a product’s life cycle is gaining popularity among researchers and practitioners because of its paramount influence on social and environmental issues. With the continuous adaption of the closed loop supply chain (CLSC) by developed countries, Bangladeshi automotive companies have given attention to CLSCs as a means of saving natural resources (energy, material, etc.) and reducing production costs. This paper proposed a structured framework using Delphi and fuzzy TOPSIS approaches for identifying and assessing major Bangladeshi automotive industry CLSC barriers. Through a literature review and extracting opinions from experts, a total of five major barriers and 16 sub-barriers were identified and evaluated via fuzzy TOPSIS. The result revealed that economic barriers were dominant for CLSC implementation in the existing supply chain followed by information-related barriers. This research may be a guideline to manufacturers when formulating strategic decisions and organizational visions for CLSC implementation. 0 - 76 92 - - S.M. Ahmed Industrial and Production Engineering, Jashore University of Science and Technology, Jashore, Bangladesh Bangladesh tazim_ipe@just.edu.bd - - C.L. Karmaker Industrial and Production Engineering, Jashore University of Science and Technology, Jashore, Bangladesh Bangladesh k.chitroleka@just.edu.bd - - Daniel Doss Lincoln Memorial University, Knoxville, Tennessee (TN), USA United States daniel.doss@lmunet.edu - - A. H. Khan Industrial and Production Engineering, Jashore University of Science and Technology, Jashore, Bangladesh Bangladesh khanabidhossain@gmail.com Closed loop supply chain Barriers Fuzzy TOPSIS Delphi Automotive industry Sustainability Abbey, J. D., Meloy, M. 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1 - Marine Inventory-Routing Problem for Liquefied Natural Gas under Travel Time Uncertainty http://www.ijsom.com/article_2807.html 10.22034/ijsom.2020.1.6 1 In this paper modelling maritimeinventory-routing problem for liquefied natural gas (LNG) under uncertainty of travel time is presented. We consider one hypothetical LNG manufacturer in Iran that sells its products in the form of long-term contracts and spots. The purpose of the study is to examine and compare the shipping costs of split and non-split delivery.The objective function is minimizing the operational costs, contract penalties, and spot fees, and the main constraints are liquefaction port constraints, ship flows, customer and contractual constraints. Considering uncertainty in the problem is one of this paper's contributions which is modeled by assuming vessels speed as a fuzzy parameter. The parameter and related constraints are defuzifided by Jimenez approach and for solving this problem a metaheuristic method is applied and effectiveness of results are compared with a commercial solver. According to the computational results split delivery policy in deterministic problem is cost effective but in the uncertain situation it is more costly comparing to non-split delivery policy, so split delivery is not recommended in maritime transportation with uncertain nature. 0 - 93 111 - - Sanaz Sheikhtajian Faculty of Economics, Kharazmi University, Tehran, Iran Iran sheikhtajian@yahoo.com - - Ali Nazemi Faculty of Economics, Kharazmi University, Tehran, Iran Iran a_nazemi78@yahoo.com - - Majid Feshari Faculty of Economics, Kharazmi University, Tehran, Iran Iran majid.feshari@gmail.com Marine Inventory Routing Uncertainty LNG Agra, A., Christiansen, M., Hvattum, L. and Rodrigues, F. (2016). A MIP Based Local Search Heuristic for a Stochastic Maritime Inventory-routing Problem. 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1 - An Approach to Innovation Potential Evaluation as a Means of Enterprise Management Improving http://www.ijsom.com/article_2808.html 10.22034/ijsom.2020.1.7 1 Complexity of the enterprise innovative potential as a subject of research and its multifaceted nature cause a large number of approaches to its evaluation. Therefore, an urgent area of research is the development of a comprehensive approach that would promptly and fully diagnose the state of existing innovation potential of the enterprise. This article proposes a methodology for innovation potential evaluation is proposed, based on the resource and productive approaches to its measurement. In accordance with the proposed integrated approach, the following evaluation goals are identified: analysis of the efficiency of using innovative potential and determining the degree of relevance between the existing innovation potential and the selected enterprise development strategy (or new innovation project). As a result of the conducted research, the most informative indicators, characterizing the constituent elements of the innovation potential, have been determined, and on the basis of their use a method of calculating the final indicators of utilization efficiency and relevance of the existing innovation potential of the enterprise has been developed. 0 - 112 118 - - Iryna Hnatenko Faculty of Entrepreneurship and Law, Kyiv National University of Technologies and Design, Kyiv, Ukraine Ukraine q17208@ukr.net - - Olga Orlova-Kurilova Faculty of Economics, Luhansk National Agrarian University, Starobilsk, Ukraine Ukraine orlovakur73@gmail.com - - Iryna Shtuler Faculty of Economics and Information Technologies, National Academy of Management, Kyiv, Ukraine Ukraine shkirka2002@ukr.net - - Vitaliy Serzhanov Faculty of Economics, Uzhgorod National University, Uzhgorod, Ukraine Ukraine vitaliy.serzhanov@uzhnu.edu.ua - - Viktoriia Rubezhanska Educational and Research Institute of Economics and Business, Luhansk Taras Shevchenko National University, Starobilsk, Ukraine Ukraine rubezhiik@gmail.com Innovation potential Management Efficiency Relevance Factor analysis Geometric addition method Balázs K. (1995). Innovation Potential Embodied in Research Organizations in Central and Eastern Europe. Social Studies of Science, Vol. 25(4), pp. 655–683.##Drucker P. (1993). Innovation and Entrepreneurship, London: Harper Collins Publishers Ltd.##Freeman Ch. (1982). Economics of Industrial Innovation, Second ed., London: Pinter.##Harris R., McAdam R. and Renee Reid R. (2016). The effect of business improvement methods on innovation in small and medium-sized enterprises in peripheral regions. Regional Studies, Vol. 50(12), pp. 2040-2054.##Hung H. and Mondejar R. (2005). Corporate directors and entrepreneurial innovation: an empirical study. The Journal of Entrepreneurship, Vol. 14(2), pp. 117–129.##Kokkonen P. and Tuohino A. (2007). The challenge of networking: analysis of innovation potential in small and medium-sized tourism enterprises. The International Journal of Entrepreneurship and Innovation, Vol. 8(1), pp. 44-52.##Kuksa I., Hnatenko I., Orlova-Kurilova O., Moisieieva N. and Rubezhanska V. (2019). State regulation of innovative employment in the context of innovative entrepreneurship development. Management Theory and Studies for Rural Business and Infrastructure Development, Vol. 37(2), pp. 228-236.##Kuksa I., Shtuler I., Orlova-Kurilova O., Hnatenko I. and Rubezhanska V. (2019). Innovation cluster as a mechanism for ensuring the enterprises interaction in the innovation sphere. Management Theory and Studies for Rural Business and Infrastructure Development, Vol. 41(4), pp. 487-500.##Rosa P. (1998). Entrepreneurial processes of business cluster formation and growth by ‘habitual’ entrepreneurs. Entrepreneurship Theory and Practice, Vol. 22(4), pp. 43-61.##Shaista E., Mroczkowski Kh. and Bernstein B. (2006). From invention to innovation: toward developing an integrated innovation model for biotech firms. Journal of Product Innovation Management, Vol. 23, pp. 528-540.##Shao Sh., Hu Zh., Cao J., Yang L. and Guan D. (2020). Environmental regulation and enterprise innovation: a review. Business Strategy and the Environment, Vol. 29(1), pp. 1-14.##Turkina E., Oreshkin B. and Kali R. (2019).  Regional innovation clusters and firm innovation performance: an interactionist approach. Regional Studies, Vol. 53(8), pp. 1193-1206.##