Manufacturing strategy literature continues to be split between process and content. Content has continually evolved and more precise applications have been developed. Process has lagged behind because of the difficulty in conducting research in this area. Little has been developed since the introduction of the product profiling mechanism. This study presents a methodology that extends the product profiling technique, resulting in more appropriate content recommendations. Two case examples, one manufacturing operation and one service operation, are provided to demonstrate the improved performance of the product profile when combined with simulation. In both cases, problem symptoms caused the organization to seek help in scheduling operations. Cursory study clearly indicated that neither organization had a scheduling problem, but rather, an improper relationship between the marketing and operations functions of the organizations. In both cases, it was possible to demonstrate, with product profiling, the lack of coordination between the marketing and operating functions of the organizations. Product profiling alone, however, was not sufficient to convince either organization to implement proper solutions. When changes were supplemented with a graphical simulation analysis, both organizations agreed with the recommendations and began implementing change.
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1 September 2002
Research Article|
September 01 2002
Extending product profiling through simulation
Scott R. Swenseth;
Scott R. Swenseth
University of Nebraska, Lincoln, Nebraska, USA
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John R. Olson;
John R. Olson
DePaul University, Chicago, Illinois, USA and
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Peter B. Southard
Peter B. Southard
The Pennsylvania State University, Erie, Pennsylvania, USA
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Publisher: Emerald Publishing
Online ISSN: 1758-6593
Print ISSN: 0144-3577
© MCB UP Limited
2002
International Journal of Operations & Production Management (2002) 22 (9): 956–971.
Citation
Swenseth SR, Olson JR, Southard PB (2002), "Extending product profiling through simulation". International Journal of Operations & Production Management, Vol. 22 No. 9 pp. 956–971, doi: https://doi.org/10.1108/01443570210446306
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