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Growing Science » International Journal of Industrial Engineering Computations » The joint influence of quality assurance and postponement on a hybrid multi-item manufacturing-delivery decision-making

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International Journal of Industrial Engineering Computations

ISSN 1923-2934 (Online) - ISSN 1923-2926 (Print)
Quarterly Publication
Volume 14 Issue 4 pp. 821-836 , 2023

The joint influence of quality assurance and postponement on a hybrid multi-item manufacturing-delivery decision-making Pages 821-836 Right click to download the paper Download PDF

Authors: Yuan-Shyi P. Chiu, Hung-Yi Chen, Victoria Chiu, Singa Wang Chiu, Hsiao-Chun Wu

DOI: 10.5267/j.ijiec.2023.6.002

Keywords: Multi-item manufacturing-delivery, Postponement, Subcontracting, Quality assurance, Supply-chain, Multiple deliveries

Abstract: The present research explores the collective influence of quality assurance and postponement on a hybrid multiproduct replenishing-delivery decision-making. Assume the required multiproduct has a standard (common) component, and our replenishing-delivery model has incorporated a two-phase postponement strategy. The first phase makes all standard components and hires an external supplier to partially provide the required parts to cut short the needed uptime. In contrast, the second phase fabricates the finished multiproduct in sequence. To ensure the desired merchandise quality, we apply a quality-assurance action to the in-house processes to screen and remove scrap items and rework the repairable defects in both stages. Upon completing each merchandise, these products are transported to the customer in n fixed-quantity shipment in fixed-time intervals. We employ math modeling and formulating approaches to gain the overall supply-chain operating expenses comprising subcontracting, fabricating, stock holding, transportation, and customer holding costs. By minimizing system operating expenses, this research determines the optimal replenishing-delivery policy. Lastly, we give a numerical example to demonstrate our study’s applicability and usefulness/capability for facilitating managerial decision-making.

How to cite this paper
Chiu, Y., Chen, H., Chiu, V., Chiu, S & Wu, H. (2023). The joint influence of quality assurance and postponement on a hybrid multi-item manufacturing-delivery decision-making.International Journal of Industrial Engineering Computations , 14(4), 821-836.

Refrences
Adak, S., & Mahapatra, G.S. (2022). Two-echelon imperfect production supply chain with probabilistic deterioration rework and reliability under fuzziness. Journal of Management Analytics, 9(2), 287-311.
Anderson, S.J., & McKenzie, D. (2022). Improving business practices and the boundary of the entrepreneur: A randomized experiment comparing training, consulting, insourcing, and outsourcing. Journal of Political Economy, 130 (1), 157-209.
Bachtiar, A.I., Marimin, Adrianto, L., & Bura, R.O. (2021). Determinants of shipbuilding industry competitive factors and institutional model analysis. Decision Science Letters, 10(2), 151-162.
Baig, M. M. U., Ali, Y., & Rehman, O. U. (2022). Enhancing resilience of oil supply chains in context of developing countries. Operational Research in Engineering Sciences: Theory and Applications, 5(1), 69-89.
Balázs, G., Mészáros, Z., & Péterfi, C.A. (2022). Process measurement and analysis in a a retail chain to improve reverse logistics efficiency. Operational Research in Engineering Sciences: Theory and Applications, 5(2), 152-175.
Bolaños, R.D.S., & Barbalho, S.C.M. (2021). Exploring product complexity and prototype lead-times to predict new product development cycle-times. International Journal of Production Economics, 235, Art. No. 108077.
Chiu, Y.-S.P., Wang, Y., Chou, C.-L., & Chiu, T. (2020). A two-stage multiproduct EMQ-based model with delayed differentiation and overtime option for common part’s fabrication. Journal of Applied Research and Technology, 18(5), 259-268.
Chiu, S.W., Wu, H.Y., Chiu, T., & Chiu, Y.-S.P. (2021). Multi-item production lot sizing with postponement, external source for common parts, and adjustable rate for end products. International Journal of Mathematical, Engineering and Management Sciences, 6(3), 787-804
Chiu, Y.-S.P., Lian, J.-H., Chiu, V., Wang, Y., & Wu, H.-C. (2022a). Mathematical modeling for a multiproduct manufacturing system featuring postponement, external suppliers, overtime, and scrap. International Journal of Industrial Engineering Computations, 13(1), 1-12.
Chiu, Y.-S.P., Ke, C.-Y., Chiu, T., & Yeh, T.-M. (2022b). Optimizing an FPR-based supplier-retailer integrated problem with an outsourcer, rework, expedited rate, and probabilistic breakdown. International Journal of Industrial Engineering Computations, 13(4), 601-616.
Dargaud, E., & Jacques, A. (2020). Leniency programs and Cartel organization of multiproduct firms. Review of Law and Economics, 16(3), 1241-1266.
De Boer, L., Gaytan, J., & Arroyo, P. (2006). A satisficing model of outsourcing. Supply Chain Management, 11(5), 444-455.
Dhahri, A., Gharbi, A., & Ouhimmou, M. (2022). Integrated production-delivery control policy for an unreliable manufacturing system and multiple retailers. International Journal of Production Economics, 245, Art. No. 108383.
Dong, Y., Qian, X., Huang, M., & Ching, W.-K. (2022). Contracts design for serial delivery with connecting time spot: From a perspective of fourth party logistics. International Journal of Industrial Engineering Computations, 13(4), 523-542.
Euchi, J., Zidi, S., & Laouamer, L. (2021). A new distributed optimization approach for home healthcare routing and scheduling problem. Decision Science Letters, 10(3), 217-230.
Fixson, S.K. (2007). Modularity and commonality research: Past developments and future opportunities. Concurrent Engineering Research and Applications, 15(2), 85-111.
Giri, B.C., & Maiti, T. (2012). Supply chain model for a deteriorating product with time-varying demand and production rate. Journal of the Operational Research Society, 63(5), 665-673.
Goyal, S.K., & Nebebe, F. (2000). Determination of economic production–shipment policy for a single-vendor-single-buyer system. European Journal of Operational Research, 121(1), 175-178.
Guiffrida, A.L., & Nagi, R. (2006). Cost characterizations of supply chain delivery performance. International Journal of Production Economics, 102(1), 22-36.
Hofer, A.R. (2015). Are we in this together? The dynamics and performance implications of dependence asymmetry and joint dependence in logistics outsourcing relationships. Transportation Journal, 54(4), 438-472.
Kakran, V.Y., & Dhodiya, J.M. (2021). Multi-objective capacitated solid transportation problem with uncertain variables. International Journal of Mathematical, Engineering and Management Sciences, 6(5), 1406-1422.
Kaviyarasu, V., & Sivakumar, P. (2022). Optimization of bayesian repetitive group sampling plan for quality determination in pharmaceutical products and related materials. International Journal of Industrial Engineering Computations, 13(1), 31-42.
Lin, H., Chiu, V., Wu, H., & Chiu, Y. (2022a). Multiproduct manufacturer-retailer coordinated supply chain with adjustable rate for common parts, delayed differentiation, and multi-shipment. Uncertain Supply Chain Management, 10(1), 83-94.
Lin, H., Chiu, T., Hwang, M., & Chiu, Y. (2022b). Multi-item fabrication-shipment decision model featuring multi-delivery, postponement, quality assurance, and overtime. Uncertain Supply Chain Management, 10(3), 1041-1054.
Maddah, B., & Jaber, M. Y. (2008). Economic order quantity for items with imperfect quality: revisited. International Journal of Production Economics, 112(2), 808-815.
Meistering, M., & Stadtler, H. (2020). Stabilized-cycle strategy for a multi-item, capacitated, hierarchical production planning problem in rolling schedules. Business Research, 13(1), 3-38.
Minguella-Canela, J., Muguruza, A., Lumbierres, D.R., Heredia, F.-J., Gimeno, R., Guo, P., Hamilton, M., Shastry, K., & Webb, S. (2017). Comparison of production strategies and degree of postponement when incorporating additive manufacturing to product supply chains. Procedia Manufacturing, 13, 754-761.
Mohammadipour, F., Amiri, M., Vanani, I.R., & Soofi, J.B. (2022). A model for location-assortment problem in a competitive environment. International Journal of Industrial Engineering Computations, 13(4), 641-660.
Momme, J., Møller, M.M., & Hvolby, H.H. (2000) Linking modular product architecture to the strategic sourcing process: case studies of two Danish industrial enterprises. International Journal of Logistics: Research and Applications, 3(2) 127-146.
Mukhsin, M., Taufik, H.E.R., Ridwan, A., & Suryanto, T. (2022). The mediation role of supply chain agility on supply chain orientation-supply chain performance link. Uncertain Supply Chain Management, 10(1), 197-204.
Mustafa, S.A., Prakash, J., Yong, C.M., & Feng, C.J. (2014). Performance study of parallel kanban-base stock for a high-mix multi-stage production system with the entrance of rework. International Journal of Advanced Operations Management, 6(3), 227-253.
Novak, S., & Stern, S. (2008). How does outsourcing affect performance dynamics? Evidence from the automobile industry. Management Science, 54(12), 1963-1979.
Prajapati, D., Pratap, S., Zhang, M., Lakshay, & Huang, G.Q. (2022). Sustainable forward-reverse logistics for multi-product delivery and pickup in B2C E-commerce towards the circular economy. International Journal of Production Economics, 253, Art. No. 108606.
Ranasinghe, N., Perera, B.A.K.S., & Dilakshan, R. (2022). Drivers of decisions behind outsourcing of quantity surveying services in construction projects. International Journal of Construction Management, 22(2), 292-304.
Shadrina, A., & Ikatrinasari, Z.F. (2021). Quality improvement of the e-commerce website using integration of kano model-IPA with QFD approach. Operational Research in Engineering Sciences: Theory and Applications, 4(3), 1-20.
Snow, Z., Reutzel, E.W., & Petrich, J. (2022). Correlating in-situ sensor data to defect locations and part quality for additively manufactured parts using machine learning. Journal of Materials Processing Technology, 302, Art. No. 117476.
Suharmono, M., Alexandri, M.B., Sumadinata, R.W.S., & Muhyi, H.A. (2022). Outsourcing in supply chain: A bibliometric analysis. Uncertain Supply Chain Management, 10(4), 1501-1508.
Tyagi, M., Panchal, D., Kumar, D., & Walia, R.S. (2021). Modeling and analysis of lean manufacturing strategies using ism-fuzzy micmac approach. Operational Research in Engineering Sciences: Theory and Applications, 4(1), 38-66.
Uthayakumar, R., & Tharani, S. (2017). An economic production model for deteriorating items and time dependent demand with rework and multiple production setups. Journal of Industrial Engineering International, 13(4), 499-512.
Van Kampen, T., & Van Donk, D.P. (2014). Coping with product variety in the food processing industry: The effect of form postponement. International Journal of Production Research, 52(2), 353-367.
Velasco-Parra, J.A., Ramón-Valencia, B.A., & Mora-Espinosa, W.J. (2021). Mechanical characterization of jute fiber-based biocomposite to manufacture automotive components. Journal of Applied Research and Technology, 19(5), 472-491.
Westphal, P., Sohal, A. (2016). Outsourcing decision-making: does the process matter? Production Planning & Control, 27(11), 894-908.
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Journal: International Journal of Industrial Engineering Computations | Year: 2023 | Volume: 14 | Issue: 4 | Views: 916 | Reviews: 0

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