Multiproduct Fabrication-Shipment Decision Making Incorporating an Accelerated Rate and Ensured Product Quality

• Autorzy: Chiu Yuan-Shyi Peter , Chiu Victoria , Lin Hong-Dar , Chiu Tiffany

Identyfikatory

DOI

10.24425/mper.2021.137676

• Języki publikacji: EN

Abstrakty

EN

Facing severely competitive global markets, managers of the modern transnational corporations must effectively integrate its intra-supply chain system to meet customers’ multiproduct demands with good quality items, minimum operating expenses, and in a timely delivery matter. Inspired by assisting current transnational firms to achieve the mission, this study builds a mathematical model to explore a multiproduct fabrication-shipment problem incorporating an accelerated rate and ensured product quality. A single machine production scheme under a common cycle policy and with random defects, rework, and an accelerated fabrication rate is considered. The speedy rate option is associated with extra setup and linear variable costs, which aims to cut short the common cycle time. Mathematical derivation is employed to find the long-run average system expense. The optimization method is used to jointly derive the decision for common length and delivery frequency per cycle for the problem. Numerical illustration is offered to confirm the applicability of the results and expose the individual/combined influences of diverse crucial system features on the problem, thus facilitate the intra-supply chain’s fabrication-shipment decision making.

Słowa kluczowe

EN

multiproduct system; intra-supply chain system; accelerated rate; fabrication-shipment decision; defects; scrap

• Wydawca: Production Engineering Committee of the Polish Academy of Sciences ; Polish Association for Production Management
• Czasopismo: Management and Production Engineering Review
• Rocznik: 2021
• Tom: Vol. 12, No. 2
• Strony: 33--44
• Opis fizyczny: Bibliogr. 29 poz., tab., wykr.

Twórcy

autor

Chiu Yuan-Shyi Peter

• Faculty of Industrial Engineering & Management, Chaoyang University of Technology, Taichung City 413, Taiwan

autor

Chiu Victoria

• Faculty of Accounting, Finance and Law, State University of New York at Oswego, Oswego, NY 13126, USA

autor

Lin Hong-Dar

• Dept. of Industrial Engineering & Management, Chaoyang University of Technology, Taichung City 413, Taiwan, phone: [phone]

autor

Chiu Tiffany

• Faculty of Anisfield School of Business, Ramapo College of New Jersey, Mahwah, NJ 07430, USA

Bibliografia

• Ameen, W., AlKahtani, M., Mohammed, M.K., Abdulhameed, O., El-Tamimi, A.M. (2018). Investigation of the effect of buffer storage capacity and repair rate on production line efficiency, Journal of King Saud University – Engineering Sciences, 30, 3, 243–249.
• Arcelus, F.J., Srinivasan, G. (1987). Inventory policies under various optimizing criteria and variable markup rates, Management Science, 33, 6, 756–762.
• Attari, M.Y.N., Torkayesh, A.E. (2018). Developing benders decomposition algorithm for a green supply chain network of mine industry: Case of Iranian mine industry, Operations Research Perspectives, 5, 371–382.
• Banerjee, A. (1986). A joint economic-lot-size model for purchaser and vendor, Decision Sciences, 17, 3, 292– 311.
• Boorla M.S., Eifler T., McMahon C., Howard T.J. (2018). Product robustness philosophy – A strategy towards zero variation manufacturing (ZVM), Management and Production Engineering Review, 9, 2, 3–12.
• Buzacott, J.A., Ozkarahan, I.A. (1983). One- and twostage scheduling of two products with distributed inserted idle time: the benefits of a controllable production rate, Naval research logistics quarterly, 30, 4, 675–696.
• Chiu, Y-S.P., Lin, H-D., Wu, M-F., Chiu, S.W. (2018a). Alternative fabrication scheme to study effects of rework of nonconforming products and delayed differentiation on a multiproduct supply-chain system, International Journal of Industrial Engineering Computations, 9, 2, 235–248.
• Chiu, Y-S.P., Chen, H-Y., Chiu, S.W., Chiu, V. (2018b). Optimization of an economic production quantitybased system with random scrap and adjustable production rate, Journal of Applied Engineering Science, 16, 1, 11–18.
• Chiu, S.W., Lin, H-D., Chou, C-L., Chiu, Y-S.P. (2018c). Mathematical modeling for exploring the effects of overtime option, rework, and discontinuous inventory issuing policy on EMQ model, International Journal of Industrial Engineering Computations, 9, 4, 479–490.
• Chiu, S.W., Chen, H-C., Lin, H-D. (2019a). Optimal common manufacturing cycle length for a multiproduct inventory system with rework and an outside contractor, International Journal for Engineering Modelling, 32, 1, 1–16.
• Chiu, Y-S.P., Chen, H-C., Chang, H-H., Hwang, M-H. (2019b). Determining rotation cycle and distribution frequency for a vendor-buyer integrated multi-item system considering an external provider and rework, International Journal of Industrial Engineering Computations, 10, 4, 505–520.
• Chiu, S.W., Huang, Y-J., Chiu, Y-S.P., Chiu, T. (2019c). Satisfying multiproduct demand with a FPR-based inventory system featuring expedited rate and scraps, International Journal of Industrial Engineering Computations, 10, 3, 443–452.
• Chiu, S.W., Wu, C-S., Tseng, C-T. (2019d). Incorporating an expedited rate, rework, and a multi-shipment policy into a multi-item stock refilling system, Operations Research Perspectives, 6, Art. No. 100115, 1–12.
• de Vasconcelos, V., Soares, W.A., da Costa, A.C.L., Raso, A.L. (2019). Use of reliability block diagram and fault tree techniques in reliability analysis of emergency diesel generators of nuclear power plants, International Journal of Mathematical, Engineering and Management Sciences, 4, 4, 814–823.
• Díaz-Mateus, Y., Forero, B., López-Ospina, H., Zambrano-Rey, G. (2018). Pricing and lot sizing optimization in a two-echelon supply chain with a constrained logit demand function, International Journal of Industrial Engineering Computations, 9, 2, 205–220.
• Gallego, G., Queyranne, M., Simchi-Levi, D. (1996). Single resource multi-item inventory systems, Operations Research, 44, 4, 580–595.
• Giri, B.C., Dohi, T. (2005). Computational aspects of an extended EMQ model with variable production rate, Computers and Operations Research, 32, 12, 3143–3161.
• Hammadi, S., Herrou, B. (2020). Lean integration in maintenance logistics management: A new sustainable framework, Management and Production Engineering Review, 11, 2, 99–106.
• Imbachi, C.G.A., Larrahondo, A.F.C., Orozco, D.L.P., Cadavid, L.R., Bastidas, J.J.B. (2018). Design of an inventory management system in an agricultural supply chain considering the deterioration of the product: The case of small citrus producers in a developing country, Journal of Applied Engineering Science, 16, 4, 523–537.
• Kauppila, O., Valikangas, K., Majava, J. (2020). Improving supply chain transparency between a manufacturer and suppliers: A triadic case study, Management and Production Engineering Review, 11, 3, 84– 91.
• Mandal, N.K., Roy, T.K. (2016). Multi-item imperfect production lot size model with hybrid number cost parameters, Applied Mathematics and Computation, 182, 2, 1219–1230.
• Muckstadt, J.A., Roundy, R.O. (1987). Multi-item, onewarehouse, multi-retailer distribution systems, Management Science, 33, 12, 1613–1621.
• Nahmias, S. (2009). Production & Operations Analysis, McGraw-Hill Co. Inc., New York, USA.
• Rao, A.S., Singh, A.K. (2018). Failure analysis of stainless steel lanyard wire rope, Journal of Applied Research and Technology, 16, 1, 35–40.
• Rardin, R.L. (1998). Optimization in Operations Research, Prentice-Hall; New Jersey, USA.
• Ritvirool, A., Ferrell, Jr. W.G. (2007). The effect on inventory of cooperation in single-vendor, singlebuyer systems with quality considerations, International Journal of Operational Research, 2, 3, 338–356.
• Sarker, R.A., Khan, L.R. (1999). Optimal batch size for a production system operating under periodic delivery policy, Computers and Industrial Engineering, 37, 4, 711–730.
• Sharma, S. (2008). On the flexibility of demand and production rate, European Journal of Operational Research, 190, 2, 557–561.
• Silver, E.A. (1995). Dealing with a shelf life constraint in cyclic scheduling by adjusting both cycle time and production rate, International Journal of Production Research, 33, 3, 623–629.

Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023)