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Profit-Optimizing Product Line Design, Selection and Pricing with Manufacturing Cost Consideration

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Product Variety Management

Part of the book series: International Series in Operations Research & Management Science ((ISOR,volume 10))

Abstract

Much of the literature on product line design or product line selection focuses on revenue or market share maximization, but in many cases, the true objective is to maximize profit. In this paper, we survey the literature on models that address decisions regarding the conceptual design of products to be offered, or the selection of products among a large set of potential products, and, in some cases, the prices of the offered products. We focus on the combined effects of multiple product offerings on both revenue and manufacturing costs, and emphasize models that would accommodate variable manufacturing costs, the cost of manufacturing facilities, and/or engineering design costs of some form. The paper concludes with promising directions for future research.

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References

  • Albers, S. (1979), An Extended Algorithm for Optimal Product Positioning, European Journal of Operational Research 3 (1979), 222–231.

    Article  Google Scholar 

  • Albers, S. (1982), PROPOPP: A Program Package for Optimal Positioning of a New Product in Attribute Space, Journal of Marketing Research 19, 606–608.

    Google Scholar 

  • Albers, S. and K. Brockhoff (1977), A Procedure for New Product Positioning in an Attribute Space, European Journal of Operational Research 1, 230–238.

    Article  Google Scholar 

  • Albers, S. and K. Brockhoff (1980), Optimal Product Attributes in Single Choice Models, Journal of the Operational Research Society 31, 647–655.

    Google Scholar 

  • Anderson, S.W. (1995), Measuring the Impact of Product Mix Heterogeneity on Manufacturing Overhead Cost, Accounting Review 70 (3), 363–387.

    Google Scholar 

  • Bachem, A. and H. Simon (1981), A Product Positioning Model with Costs and Prices, European Journal of Operational Research 7, 362–370.

    Article  Google Scholar 

  • Balakrishnan, P.V. and V.S. Jacob (1995), Genetic Algorithms for Product Design, Management Science 42 (8), 1105–1117.

    Article  Google Scholar 

  • Balakrishnan, P.V. and V.S. Jacob (1997), Diet for the Goose that Lays the Golden Egg: Artificial Intelligence for Product Line Designs, Presented at the 1997 Marketing Science Conference, Berkeley, CA.

    Google Scholar 

  • Bridges, E., A.T. Coughlan and S. Kalish (1991), New Technology Adoption in an Innovative Marketplace: Micro and Macro-Level Decision Making Models, International Journal of Forecasting 7 (3), 257–270. Business Week, Make it Simple, September 9, 1996, 96–104.

    Article  Google Scholar 

  • Chhajed, D. and N. Raman (1993), An Integrated Approach to Product Design and Process Selection, Faculty Working Paper 93–0150, Department of Business Administration, University of Illinois, Urbana-Champaign.

    Google Scholar 

  • Choi, S.C. and W.S. DeSarbo (1994), A Conjoint-Based Product Designing Procedure Incorporating Price Competition, Journal of Product Innovation Management 11 (5), 451–459.

    Article  Google Scholar 

  • Choi, S.C., W.S. DeSarbo and P.T. Harker (1990), Product Positioning Under Price Competition, Management Science 36 (2), 175–199.

    Article  Google Scholar 

  • Choi, S.C., W.S. DeSarbo and P.T. Harker (1992), A Numerical Approach to Deriving Long-Run Equilibrium Solutions in Spatial Positioning Models, Management Science 38 (1), 75–86.

    Article  Google Scholar 

  • Cohen, M.A., J. Eliashberg and T.-H. Ho (1996), New Product Development: The Performance and Time-to-Market Tradeoff, Management Science 42 (2), 173–186.

    Article  Google Scholar 

  • de Groote, X. (1994), Flexibility and Product Variety in Lot-Sizing Models, European Journal of Operational Research 75 (2), 264–274.

    Article  Google Scholar 

  • Dobson, G. and S. Kalish (1988), Positioning and Pricing a Product Line, Marketing Science 7(2), 107–125.

    Article  Google Scholar 

  • Dobson, G. and S. Kalish (1993), Heuristics For Pricing and Positioning a Product-Line Using Conjoint and Cost Data, Management Science 39(2), 160–175.

    Article  Google Scholar 

  • Dobson, G. and C.A. Yano (1995), Product Line and Technology Selection with Shared Manufacturing and Engineering Design Resources, Working Paper, William E. Simon School of Business Administration, University of Rochester, Rochester, NY.

    Google Scholar 

  • Gavish, B., D. Horsky and K. Srikanth (1979), An Approach to the Optimal Positioning of a New Product, Management Science 29(11), 1277–1297.

    Article  Google Scholar 

  • Gelders, L.F. and F.H. De Roose (1981), Determining Price Levels and Product Mix in a Rolling Mill: A Case Study, HE Transactions 13 (4), 315–324.

    Google Scholar 

  • Green, P.E. (1984), Hybrid Models for Conjoint Analysis: An Expository Review, Journal of Marketing Research 21 (2), 155–169.

    Article  Google Scholar 

  • Green, P.E., J.D. Carroll and S.M. Goldberg (1981), A General Approach to Product Design Optimization via Conjoint Analysis, Journal of Marketing 45, 17–37.

    Article  Google Scholar 

  • Green, P. E. and A. M. Krieger (1985), Models and Heuristics for Product Line Selection, Marketing Science 4 (1), 1–19.

    Article  Google Scholar 

  • Green, P.E. and A.M. Krieger (1987), A Consumer-Based Approach to Designing Product Line Extensions, Journal of Product Innovation Management 4 (1), 21–32.

    Article  Google Scholar 

  • Green, P.E. and A.M. Krieger (1989a), A Componential Segmentation Model with Optimal Product Design Features, Decision Sciences 20, 221–238.

    Article  Google Scholar 

  • Green, P. E. and A. M. Krieger (1989b), Recent Contributions to Optimal Product Positioning and Buyer Segmentation, European Journal of Operational Research 41(2), 127–141.

    Article  Google Scholar 

  • Green, P. E. and A. M. Krieger (1990), Conjoint Analysis in Marketing: New Developments with Implications for Research and Practice. Journal of Marketing 54, 3–19.

    Article  Google Scholar 

  • Green, P.E., A.M. Krieger and J. Douglas Carroll (1987), Conjoint Analysis and Multidimensional Scaling: A Complementary Approach, Journal of Advertising Research 27(5), 21–27.

    Google Scholar 

  • Green, P.E., A.M. Krieger and R.N. Zelnio (1989), A Componential Segmentation Model with Optimal Product Design Features, Decision Sciences 20, 221–238.

    Article  Google Scholar 

  • Hauser, J.R. and P. Simmie (1981), Profit Maximizing Perceptual Positions: An Integrated Theory for the Selection of Product Features and Price, Management Science 27 (1), 33–56.

    Article  Google Scholar 

  • Hendrix, E.M.T., C.J. Mecking and T.H.B. Hendriks (1996), Finding Robust Solutions for Product Design Problems, European Journal of Operational Research 92 (1), 28–36.

    Article  Google Scholar 

  • Horsky, D. and P. Nelson (1992), New Brand Positioning and Pricing in an Oligopolistic Market, Marketing Science 11(2), 133–153.

    Article  Google Scholar 

  • Kalish, S. and P. Nelson (1991), A Comparison of Ranking, Rating and Reservation Price Measurement in Conjoint Analysis, Marketing Letters 2(4), 327–335.

    Article  Google Scholar 

  • Kaul, A. and V.R. Rao (1995), Research for Product Positioning and Design Decisions: An Integrative Review, International Journal of Research in Marketing 12, 293–320.

    Article  Google Scholar 

  • Kekre, S. (1987), Performance of a Manufacturing Cell with Increased Product Mix, IIE 19 (3), 329–339.

    Article  Google Scholar 

  • Kekre, S. and K. Srinivasan (1990), Broader Product Line: A Necessity to Achieve Success? Management Science 36 (10), 1216–1231.

    Article  Google Scholar 

  • Kohli, R. and R. Krishnamurti (1987), A Heuristic Approach to Product Design, Management Science 33 (12), 1523–1533.

    Article  Google Scholar 

  • Kohli, R. and R. Krishnamurti (1989), Optimal Product Design Using Conjoint Analysis: Computational Complexity and Algorithms, European Journal of Operational Research 40 (2), 186–195.

    Article  Google Scholar 

  • Kohli, R. and R. Sukumar (1990), Heuristics for Product-Line Design Using Conjoint Analysis, Management Science 36(12), 1464–1478.

    Article  Google Scholar 

  • Lancaster, K. (1997), Markets and Product Variety Management, presented at the Product Variety Management Conference, University of California, Los Angeles, January 1997.

    Google Scholar 

  • Lancaster, K. and B.T. Ratchford (1990), The Economics of Product Variety: A Survey; Marketing Applications of the Economics of Product Variety, Marketing Science 9 (3), 189–211.

    Article  Google Scholar 

  • May, J.H. (1979), Solving Non-Linear Programs without Using Analytic Derivatives, Operations Research 27, 457–484.

    Article  Google Scholar 

  • McBride, R.D. and F.S. Zufryden (1988), An Integer Programming Approach to the Optimal Product Line Selection Problem, Marketing Science 7 (2), 126–140.

    Article  Google Scholar 

  • MacDuffie, J.P, K. Sethuraman, and M.L. Fisher (1996), Product Variety and Manufacturing Performance: Evidence from the International Automotive Assembly Plant Study, Management Science 42 (3), 350–369.

    Article  Google Scholar 

  • Monroe, K., S. Sunder, W.A. Wells, A.A. Zoltners, A Multi-Period Integer Programming Approach to the Product Mix Problem, Proceedings of the 1976 American Marketing Association Meeting, K. Bernhardt (ed.), 493–497.

    Google Scholar 

  • Morgan, L.O., R.L. Daniels and P. Kouvelis (1996), Marketing/Manufacturing Tradeoffs in Product Line Management: Insights from a Mathematical Programming Model, Working Paper, School of Business, University of Utah, Salt Lake City, Utah.

    Google Scholar 

  • Nair, S., L. S. Thakur and K.-W. Wen (1995), Near Optimal Solutions for Product Line Design and Selection: Beam Search Heuristics, Management Science 41 (5), 767–785.

    Article  Google Scholar 

  • Pangburn, M.S. (1997), Modular Product Systems Design and Planning: Assessing the Impact of Configuration Flexibility, Unpublished Ph.D. Dissertation, University of Rochester, Rochester, NY.

    Google Scholar 

  • Perkins, A.G. (1994), Product Variety: Beyond Black, Harvard Business Review 72 (6), 13–14.

    Google Scholar 

  • Raman, N. and D. Chhajed (1995), Simultaneous Determination of Product Attributes and Prices and Production Processes in Product-Line Design, Journal of Operations Management 12 (3–4), 187–204.

    Article  Google Scholar 

  • Reeves, G.R. and J.R. Sweigart (1981), Product-Mix Models When Learning Effects Are Present, Management Science 27 (2), 204–212.

    Article  Google Scholar 

  • Roberts, J.H. and G.L. Lilien (1993), Explanatory and Predictive Models of Consumer Behavior, Chapter 2 in Marketing: Handbooks in Operations Research and Management Science, Amsterdam: North Holland.

    Google Scholar 

  • Robinson, W. T. (1988), Marketing Mix Reactions to Entry, Marketing Science 7(4), 368–385.

    Article  Google Scholar 

  • Rosendahl, I. (1995), Finding the Correct Product Assortment Can Be Tricky, Drug Topics 139 (12), 57–58.

    Google Scholar 

  • Schmalensee, R. and J.-F. Thisse (1988), Perceptual Maps and the Optimal Location of New Products: An Integrative Essay, International Journal of Research in Marketing 5, 225–249.

    Article  Google Scholar 

  • Sawhney, M. and K. Ramdas (1997), A Cross-Functional Approach to Designing Product Lines for Assembled Products, Presented at the 1997 Marketing Science Conference, Berkeley, CA.

    Google Scholar 

  • Shocker, A.D. and V. Srinivasan (1974), A Consumer-Based Methodology for the Identification of New Product Ideas, Management Science 20 (6), 921–937.

    Article  Google Scholar 

  • Shugan, S.M. and V. Balachandran (1977), A Mathematical Programming Model for Optimal Product Line Structuring, Working Paper 7734, Graduate School of Management, University of Rochester, Rochester, NY.

    Google Scholar 

  • Sudharshan, D., J.H. May and T. Gruca (1988), DIFFSTRAT: An Analytical Procedure for Generating Optimal New Product Concepts for a Differentiated-Type Strategy, European Journal of Operational Research 36, 50–65.

    Article  Google Scholar 

  • Sudharshan, D., J.H. May and A.D. Shocker (1987), A Simulation Comparison of Methods for New Product Location, Marketing Science 6 (2), 182–207.

    Article  Google Scholar 

  • Taylor, G.D., J.R. English and R.J. Graves (1994), Designing New Products: Compatibility with Existing Production Facilities and Anticipated Product Mix, Integrated Manufacturing Systems 5 (4–5), 13–21.

    Article  Google Scholar 

  • Thakur, L.S., S. Nair and K.-W. Wen (1993), Product Line Design Considering Common Production Facilities and Costs, Working Paper, Department of Operations Research and Information Management, University of Connecticut.

    Google Scholar 

  • Yeh, K.-H. and C.-H. Chu (1991), Adaptive Strategies for Coping with Product Variety Decisions, International Journal of Operations & Production Management 11 (8), 35–47.

    Article  Google Scholar 

  • Zufryden, F.S. (1979), ZIPMAP—A Zero-One Integer Programming Model for Market Segmentation and Product Positioning, Journal of the Operational Research Society 30 (1), 63–70.

    Google Scholar 

  • Zufryden, F.S. (1982), Product Line Optimization by Integer Programming, Presented at the Spring 1982 National ORSA/TIMS Conference, San Diego, CA.

    Google Scholar 

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Yano, C., Dobson, G. (1998). Profit-Optimizing Product Line Design, Selection and Pricing with Manufacturing Cost Consideration. In: Ho, TH., Tang, C.S. (eds) Product Variety Management. International Series in Operations Research & Management Science, vol 10. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-5579-7_8

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  • DOI: https://doi.org/10.1007/978-1-4615-5579-7_8

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-7552-4

  • Online ISBN: 978-1-4615-5579-7

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