Production Location Selecting and Subsequent Production Decision Making for Sport Obermeyer
- 1 Art & Science, The University of Washington, Seattle, 98105, America
* Author to whom correspondence should be addressed.
Abstract
This paper revolved around two core research issues: production location selection and subsequent production decisions. The aim of the study was to provide a detailed analysis of Sport Obermeyer's data from 1992 to 1995 in a new way, hoping to assist companies facing similar challenges. The paper took Cost, Quality, Lead time and Minimum order quantity as bridges to the four main factors affecting the choice of production location. It detailed the advantages and disadvantages of the two production locations: Hong Kong and China. Then, with the aid of the Newsvendor model, the mismatch cost ratio for the 10 styles was determined. Ultimately, using the coefficient of variance for comparison and confirmation of the mismatch cost ratio results, the paper helped Sport Obermeyer analyze which styles of parkas had low-risk and low-uncertainty demand, and which had high-risk and high-uncertainty. The paper then combined the characteristics of the two production locations and assisted Sport Obermeyer in making subsequent production decisions. Five styles of parkas suitable for production in China and five styles suitable for production in Hong Kong were identified, ensuring stable profits and deliveries for Sport Obermeyer.
Keywords
Production location, mismatch cost ratio, newsvendor model
[1]. Darvish, M. and Coelho, L. C. (2018). Sequential versus integrated optimization: Production, location, inventory control, and distribution. European Journal of Operational Research, 268(1), 203–214.
[2]. Ketokivi, M., Turkulainen, V., Seppälä, T., Rouvinen, P. and Ali-Yrkkö, J. (2017). Why locate manufacturing in a high-cost country? A case study of 35 production location decisions. Journal of Operations Management, 49-51(1), 20–30.
[3]. Buciuni, G. and Finotto, V. (2016). Innovation in Global Value Chains: Co-location of Production and Development in Italian Low-Tech Industries. Regional Studies, 50(12), 2010–2023.
[4]. Shahabi, M., Tafreshian, A., Unnikrishnan, A. and Boyles, S. D. (2018). Joint production–inventory–location problem with multi-variate normal demand. Transportation Research Part B: Methodological, 110(April 2018), 60–78.
[5]. Yu, V. F., Normasari, N. M. E. and Luong, H. T. (2015). Integrated Location-Production-Distribution Planning in a Multiproducts Supply Chain Network Design Model. Mathematical Problems in Engineering, 2015(16 Mar 2015), 1–13.
[6]. Fuchs, E. R. H., Field, F. R., Roth, R. and Kirchain, R. E. (2011). Plastic cars in China? The significance of production location over markets for technology competitiveness in the United States versus the People’s Republic of China. International Journal of Production Economics, 132(1), 79–92.
[7]. Bhatnagar, R. and Lin, B. (2019). The joint transshipment and production control policies for multi-location production/inventory systems. European Journal of Operational Research, 275(3), 957–970.
[8]. Treber, S., Moser, E., Helming, S., Haefner, B. and Lanza, G. (2019). Practice-oriented methodology for reallocating production technologies to production locations in global production networks. Production Engineering, 13(3-4), 283–291.
[9]. Shafiee-Gol, S., Kia, R., Kazemi, M., Tavakkoli-Moghaddam, R. and Mostafayi Darmian, S. (2020). A mathematical model to design dynamic cellular manufacturing systems in multiple plants with production planning and location–allocation decisions. Soft Computing, 25(5), 3931–3954.
[10]. Bruch, J., Wiktorsson, M. and Bellgran, M. (2014). On the production location decision: a case study on process and criteria. International Journal of Manufacturing Research, 9(1), 74.
[11]. Sharkey, T. C., Geunes, J., Edwin Romeijn, H. and Shen, Z.-J. M. (2011). Exact algorithms for integrated facility location and production planning problems. Naval Research Logistics (NRL), 58(5), 419–436.
Cite this article
Cui,C. (2024).Production Location Selecting and Subsequent Production Decision Making for Sport Obermeyer.Advances in Economics, Management and Political Sciences,108,44-51.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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