Journal of Industrial Engineering Research in Production Systems

Journal of Industrial Engineering Research in Production Systems

Designing an Extended Inventory Model in the Supply Chain with Material Requirements Planning and Supplier Selection

Document Type : Research Paper

Authors
Raheleh Abbasi Bastami 1
Reza Ehtesham Rasi 2
Sadegh Abedi 2
1 PHD student, Department of Industrial Management, Qazvin Branch, Islamic Azad University, Qazvin, Iran.
2 Assistant Professor, Department of Industrial Management, Qazvin Branch, Islamic Azad University, Qazvin, Iran
10.22084/ier.2022.24851.2042
Abstract
Material Requirements Planning (MRP) is a priority planning method that calculates the materials needed to meet the demand for all products and parts in one or more parts of the factory. Because choosing the right supplier for the organization brings significant savings, the most important activity of the buying operation is choosing the right supplier. The aim of this study is to design an extended inventory model to identify and Supplier Selection and Material Requirements Planning in the supply chain. For this purpose, an inventory system including the main parameters of initial inventory level, defect rate and decision when supply shortage was designed. Then the distribution model was designed for the relationship between the inventories of supply chain units and distributors. After modeling the demand for each supply chain unit, the inventory model was performed to Material Requirements Planning and Supplier Selection based on dynamic simulation for the supply chain. Material Requirements Planning was then sensitized based on changes in demand and changes in production capacity and changes in inventory and finally suppliers were selected. The results showed that with increasing demand, the cost of new raw materials also increases. Also, at 80% of the base production capacity, the Material Requirements Planning is unworkable and is not able to meet the basic demand. Reduced capacity leads to high inventory costs. With 110 and 120% of base capacity, there was a reduction in production costs. Also, with high initial inventory, a decrease in total costs was observed, and in 120% of the basic initial inventory, although inventory costs increased, the cost of new raw materials decreased significantly. Also, the sensitivity for selecting a supplier to the fixed cost parameter of ordering from the supplier is less than other cost parameters
Keywords
Supply Chain
Material Requirements Planning
Supplier Selection
Inventory System
  • Mula, R. Poler, and J. P. Garcia-Sabater, "Material Requirement Planning with fuzzy constraints and fuzzy coefficients," Fuzzy Sets and Systems, vol. 158, no. 7, pp. 783-793, 2007.
  • ح. شاهبندرزاده, غ. جمالی, ی. براتی, "به‌کارگیری مدلی جهت بررسی عوامل اثرگذار بر پیاده سازی برنامه‌ریزی احتیاجات مواد در زنجیره‌تأمین," presented at the همایش بین‌المللی مدیریت, 1393.
  • E. Boran, S. Genç, M. Kurt, and D. Akay, "A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method," Expert Systems with Applications, vol. 36, no. 8, pp. 11363-11368, 2009.
  • ا. قلی پور, ع. صفایی, م. پایدار, "یک سیستم پشتیبانی تصمیم‌گیری برای انتخاب تأمین‌کننده و تخصیص سفارش در محیط چندمعیاره، چندذینفعی و احتمالی," presented at the اولین کنفرانس بین‌المللی بهینه‌سازی سیستم‌ها و مدیریت کسب‌وکار, 1396.
  • Aissaoui, M. Haouari, and E. Hassini, "Supplier selection and order lot sizing modeling: A review," Computers & operations research, vol. 34, no. 12, pp. 3516-3540, 2007.
  • Khalifehzadeh, M. B. Fakhrzad, Y. Z. Mehrjerdi, and H. Hosseini_Nasab, "Two effective metaheuristic algorithms for solving a stochastic optimization model of a multi-echelon supply chain," Applied Soft Computing, vol. 76, pp. 545-563, 2019.
  • M. Billal and M. Hossain, "Multi-Objective Optimization for Multi-Product Multi-Period Four Echelon Supply Chain Problems Under Uncertainty," Journal of Optimization in Industrial Engineering, 2019.
  • Das, N. B. Hui, and V. Jain, "Optimization of stochastic,(Q, R) inventory system in multi-product, multi-echelon, distributive supply chain," Journal of Revenue and Pricing Management, vol. 18, no. 5, pp. 405-418, 2019.
  • Duan and J. A. J. E. J. o. O. R. Ventura, "A dynamic supplier selection and inventory management model for a serial supply chain with a novel supplier price break scheme and flexible time periods," vol. 272, no. 3, pp. 979-998, 2019.
  • Sutrisno, Widowati, and R. H. Tjahjana, "Piecewise objective optimisation model for inventory control integrated with supplier selection considering discount," International Journal of Logistics Systems and Management, vol. 38, no. 1, pp. 65-78, 2021.
  • Pooya, N. Fakhlaei, and A. Alizadeh-Zoeram, "Designing a dynamic model to evaluate lot-sizing policies in different scenarios of demand and lead times in order to reduce the nervousness of the MRP system," Journal of Industrial and Production Engineering, vol. 38, no. 2, pp. 122-136, 2021.
  • -A. Louly and A. Dolgui, "Optimal MRP parameters for a single item inventory with random replenishment lead time, POQ policy and service level constraint," International Journal of Production Economics, vol. 143, no. 1, pp. 35-40, 2013.
  • Inderfurth, "How to protect against demand and yield risks in MRP systems," International Journal of Production Economics, vol. 121, no. 2, pp. 474-481, 2009.
  • H. Mirmohammadi, S. Shadrokh, and F. Kianfar, "An efficient optimal algorithm for the quantity discount problem in material requirement planning," Computers & Operations Research, vol. 36, no. 6, pp. 1780-1788, 2009.
  • -G. Lee, N. Park, H.-I. Jeong, and J. Park, "Grid enabled MRP process improvement under distributed database environment," Journal of Systems and Software, vol. 82, no. 7, pp. 1087-1097, 2009.
  • I. Salaheldin, "Factors influencing the stage of MRP implementation: an empirical study," Problems and perspectives in management, no. 3, pp. 89-102, 2004.
  • Petroni, "Critical factors of MRP implementation in small and medium-sized firms," International Journal of Operations & Production Management, vol. 22, no. 3, pp. 329-348, 2002.
  • Miclo, M. Lauras, F. Fontanili, J. Lamothe, and S. A. J. I. J. o. P. R. Melnyk, "Demand Driven MRP: assessment of a new approach to materials management," vol. 57, no. 1, pp. 166-181, 2019.
  • Chopra and P. Meindl, "Supply chain management. Strategy, planning & operation," in Das summa summarum des management: Springer, 2007, pp. 265-275.
  • W. Dickson, "An analysis of vendor selection systems and decisions," Journal of purchasing, vol. 2, no. 1, pp. 5-17, 1966.
  • Rao and G. Kiser, "Educational buyers' perceptions of vendor attributes," Journal of Purchasing and Materials Management, vol. 16, no. 4, pp. 25-30, 1980.
  • Bache, R. Carr, J. Parnaby, and A. Tobias, "Supplier development systems," International Journal of Technology Management, vol. 2, no. 2, pp. 219-228, 1987.
  • S. Bender, R. W. Brown, M. H. Isaac, and J. F. Shapiro, "Improving purchasing productivity at IBM with a normative decision support system," Interfaces, vol. 15, no. 3, pp. 106-115, 1985.
  • A. Weber, J. R. Current, and W. Benton, "Vendor selection criteria and methods," European journal of operational research, vol. 50, no. 1, pp. 2-18, 1991.
  • A. Weber and J. R. Current, "A multiobjective approach to vendor selection," European journal of operational research, vol. 68, no. 2, pp. 173-184, 1993.
  • C. Rosenthal, J. L. Zydiak, and S. S. Chaudhry, "Vendor selection with bundling," Decision Sciences, vol. 26, no. 1, pp. 35-48, 1995.
  • Degraeve and F. Roodhooft, "A mathematical programming approach for procurement using activity based costing," Journal of Business Finance & Accounting, vol. 27, no. 1‐2, pp. 69-98, 2000.
  • De Boer, E. Labro, and P. Morlacchi, "A review of methods supporting supplier selection," European journal of purchasing & supply management, vol. 7, no. 2, pp. 75-89, 2001.
  • Basnet and J. M. Leung, "Inventory lot-sizing with supplier selection," Computers & Operations Research, vol. 32, no. 1, pp. 1-14, 2005.
  • R. Goossens, A. Maas, F. C. Spieksma, and J. Van de Klundert, "Exact algorithms for procurement problems under a total quantity discount structure," European Journal of Operational Research, vol. 178, no. 2, pp. 603-626, 2007.
  • Rezaei and M. Davoodi, "A deterministic, multi-item inventory model with supplier selection and imperfect quality," Applied Mathematical Modelling, vol. 32, no. 10, pp. 2106-2116, 2008.
  • W. Ho, X. Xu, and P. K. Dey, "Multi-criteria decision making approaches for supplier evaluation and selection: A literature review," European Journal of operational research, vol. 202, no. 1, pp. 16-24, 2010.
  • Amid, S. Ghodsypour, and C. O’Brien, "Fuzzy multiobjective linear model for supplier selection in a supply chain," International Journal of production economics, vol. 104, no. 2, pp. 394-407, 2006.
  • Amid, S. Ghodsypour, and C. O’Brien, "A weighted additive fuzzy multiobjective model for the supplier selection problem under price breaks in a supply chain," International Journal of Production Economics, vol. 121, no. 2, pp. 323-332, 2009.
  • M. Ebrahim, J. Razmi, and H. Haleh, "Scatter search algorithm for supplier selection and order lot sizing under multiple price discount environment," Advances in Engineering Software, vol. 40, no. 9, pp. 766-776, 2009.
  • Haleh and A. Hamidi, "A fuzzy MCDM model for allocating orders to suppliers in a supply chain under uncertainty over a multi-period time horizon," Expert Systems with Applications, vol. 38, no. 8, pp. 9076-9083, 2011.
  • Xia and Z. Wu, "Supplier selection with multiple criteria in volume discount environments," Omega, vol. 35, no. 5, pp. 494-504, 2007.
  • Crama and A. Torres, "Optimal procurement decisions in the presence of total quantity discounts and alternative product recipes," European Journal of Operational Research, vol. 159, no. 2, pp. 364-378, 2004.
  • Ding, L. Benyoucef, and X. Xie, "A simulation optimization methodology for supplier selection problem," International Journal of Computer Integrated Manufacturing, vol. 18, no. 2-3, pp. 210-224, 2005.
  • Freeman and T. Chen, "Green supplier selection using an AHP-Entropy-TOPSIS framework," Supply Chain Management: An International Journal, vol. 20, no. 3, pp. 327-340, 2015.
  • R. Ware, S. Singh, and D. Banwet, "A mixed-integer non-linear program to model dynamic supplier selection problem," Expert Systems with Applications, vol. 41, no. 2, pp. 671-678, 2014.
  • Xu and F. Yan, "A multi-objective decision making model for the vendor selection problem in a bifuzzy environment," Expert systems with applications, vol. 38, no. 8, pp. 9684-9695, 2011.
  • Zeydan, C. Çolpan, and C. Çobanoğlu, "A combined methodology for supplier selection and performance evaluation," Expert Systems with Applications, vol. 38, no. 3, pp. 2741-2751, 2011.
  • -F. Wang and H.-W. Hsu, "A closed-loop logistic model with a spanning-tree based genetic algorithm," Computers & operations research, vol. 37, no. 2, pp. 376-389, 2010.
  • S. Pishvaee, R. Z. Farahani, and W. Dullaert, "A memetic algorithm for bi-objective integrated forward/reverse logistics network design," Computers & operations research, vol. 37, no. 6, pp. 1100-1112, 2010.
  • Klein and J. A. Ventura, "An optimal method for a deterministic joint replenishment inventory policy in discrete time," Journal of the Operational Research Society, vol. 46, no. 5, pp. 649-657, 1995.
  • Moon and B. Cha, "The joint replenishment problem with resource restriction," European Journal of Operational Research, vol. 173, no. 1, pp. 190-198, 2006.
  • Khouja, Z. Michalewicz, and S. S. Satoskar, "A comparison between genetic algorithms and the RAND method for solving the joint replenishment problem," Production Planning & Control, vol. 11, no. 6, pp. 556-564, 2000.
  • Siajadi, R. N. Ibrahim*, P. B. Lochert, and W. M. Chan, "Joint replenishment policy in inventory-production systems," Production Planning & Control, vol. 16, no. 3, pp. 255-262, 2005.
  • K. Chan, L. Y.-o. Li, C. T. Ng, B. K.-s. Cheung, and A. Langevin, "Scheduling of multi-buyer joint replenishments," International Journal of Production Economics, vol. 102, no. 1, pp. 132-142, 2006.
  • Hoque, "An optimal solution technique for the joint replenishment problem with storage and transport capacities and budget constraints," European journal of operational research, vol. 175, no. 2, pp. 1033-1042, 2006.
  • L. Olsen, "Inventory replenishment with interdependent ordering costs: an evolutionary algorithm solution," International Journal of Production Economics, vol. 113, no. 1, pp. 359-369, 2008.
  • Konak, D. W. Coit, and A. E. Smith, "Multi-objective optimization using genetic algorithms: A tutorial," Reliability Engineering & System Safety, vol. 91, no. 9, pp. 992-1007, 2006.
  • -L. Hsu, "Optimal joint replenishment decisions for a central factory with multiple satellite factories," Expert Systems with Applications, vol. 36, no. 2, pp. 2494-2502, 2009.
  • Li, "Solving the multi-buyer joint replenishment problem with the RAND method," Computers & Industrial Engineering, vol. 46, no. 4, pp. 755-762, 2004.
  • J. A. s. c. Sadeghian, "Continuous materials requirements planning (CMRP) approach when order type is lot for lot and safety stock is zero and its applications," vol. 11, no. 8, pp. 5621-5629, 2011.
  • Hosoda and S. M. J. O. Disney, "On variance amplification in a three-echelon supply chain with minimum mean square error forecasting," vol. 34, no. 4, pp. 344-358, 2006.
  • R. Trapero, N. Kourentzes, and R. J. O. Fildes, "Impact of information exchange on supplier forecasting performance," vol. 40, no. 6, pp. 738-747, 2012.
  • W. Liao and P.-C. J. I. J. o. P. E. Chang, "Impacts of forecast, inventory policy, and lead time on supply chain inventory—a numerical study," vol. 128, no. 2, pp. 527-537, 2010.
  • W. Wei, "Time series analysis," in The Oxford Handbook of Quantitative Methods in Psychology: Vol. 2, 2006.
Journal of Industrial Engineering Research in Production Systems
Volume 9, Issue 19
February 2022
Pages 71-93