Application of fuzzy sets to manufacturing/distribution planning decisions with multi-product and multi-time period in supply chains |
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| Authors: | Tien-Fu Liang Hung-Wen Cheng |
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| Affiliation: | 1. BRE Centre for Sustainable Constructions, School of Engineering, Cardiff University, Cardiff, UK;2. School of Management, Royal Holloway, University of London, Egham, UK;3. Department of Industrial Engineering, University of Salerno, Fisciano, Italy;4. Institute of Mechanical and Manufacturing Engineering, School of Engineering, Cardiff University, Cardiff, UK;5. School of Mechanical Engineering, University of Birmingham, Birmingham, UK;1. Department of Industrial Management, Faculty of Management and Accounting, Allameh Tabataba’i University, Tehran, Iran;2. Department of Construction Technology and Management, Vilnius Gediminas Technical University, Sauletekio al. 11, LT-10223 Vilnius, Lithuania;1. University of Bern, Engehaldenstrasse 8, 3012 Bern, Switzerland;2. University of California, Berkeley, 443 Soda Hall, Berkeley, CA 94720, USA;3. University of Fribourg, Boulevard de Pérolles 90, 1700 Fribourg, Switzerland;4. Department of Electrical & Computer Engineering, University of Alberta, Edmonton, T6R 2V4 AB, Canada;5. Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah 21589, Saudi Arabia;6. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland;1. Graduate Institute of Industrial and Business Management, National Taipei University of Technology, Taipei, Taiwan, ROC;2. Department of Industrial Engineering and Management, National Taipei University of Technology, Taipei, Taiwan, ROC |
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| Abstract: | This work applies fuzzy sets to integrating manufacturing/distribution planning decision (MDPD) problems with multi-product and multi-time period in supply chains by considering time value of money for each of the operating cost categories. The proposed fuzzy multi-objective linear programming model (FMOLP) attempts to simultaneously minimize total costs and total delivery time with reference to inventory levels, available machine capacity and labor levels at each source, as well as market demand and available warehouse space at each destination, and the constraint on total budget. An industrial case demonstrates the feasibility of applying the proposed model to a realistic MDPD problem and several significant management implications are presented based on computational analysis and comparisons with the existing MDPD methods. The main advantage of the proposed model is that it presents a systematic framework that facilitates fuzzy decision-making for solving the multi-objective MDPD problems with multi-product and multi-time period in supply chains under an uncertain environment, enabling the decision maker to adjust the search direction during the solution procedure to obtain a preferred satisfactory solution. |
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