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.
Albers, S. (1982), PROPOPP: A Program Package for Optimal Positioning of a New Product in Attribute Space, Journal of Marketing Research 19, 606–608.
Albers, S. and K. Brockhoff (1977), A Procedure for New Product Positioning in an Attribute Space, European Journal of Operational Research 1, 230–238.
Albers, S. and K. Brockhoff (1980), Optimal Product Attributes in Single Choice Models, Journal of the Operational Research Society 31, 647–655.
Anderson, S.W. (1995), Measuring the Impact of Product Mix Heterogeneity on Manufacturing Overhead Cost, Accounting Review 70 (3), 363–387.
Bachem, A. and H. Simon (1981), A Product Positioning Model with Costs and Prices, European Journal of Operational Research 7, 362–370.
Balakrishnan, P.V. and V.S. Jacob (1995), Genetic Algorithms for Product Design, Management Science 42 (8), 1105–1117.
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.
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.
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.
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.
Choi, S.C., W.S. DeSarbo and P.T. Harker (1990), Product Positioning Under Price Competition, Management Science 36 (2), 175–199.
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.
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.
de Groote, X. (1994), Flexibility and Product Variety in Lot-Sizing Models, European Journal of Operational Research 75 (2), 264–274.
Dobson, G. and S. Kalish (1988), Positioning and Pricing a Product Line, Marketing Science 7(2), 107–125.
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.
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.
Gavish, B., D. Horsky and K. Srikanth (1979), An Approach to the Optimal Positioning of a New Product, Management Science 29(11), 1277–1297.
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.
Green, P.E. (1984), Hybrid Models for Conjoint Analysis: An Expository Review, Journal of Marketing Research 21 (2), 155–169.
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.
Green, P. E. and A. M. Krieger (1985), Models and Heuristics for Product Line Selection, Marketing Science 4 (1), 1–19.
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.
Green, P.E. and A.M. Krieger (1989a), A Componential Segmentation Model with Optimal Product Design Features, Decision Sciences 20, 221–238.
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.
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.
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.
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.
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.
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.
Horsky, D. and P. Nelson (1992), New Brand Positioning and Pricing in an Oligopolistic Market, Marketing Science 11(2), 133–153.
Kalish, S. and P. Nelson (1991), A Comparison of Ranking, Rating and Reservation Price Measurement in Conjoint Analysis, Marketing Letters 2(4), 327–335.
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.
Kekre, S. (1987), Performance of a Manufacturing Cell with Increased Product Mix, IIE 19 (3), 329–339.
Kekre, S. and K. Srinivasan (1990), Broader Product Line: A Necessity to Achieve Success? Management Science 36 (10), 1216–1231.
Kohli, R. and R. Krishnamurti (1987), A Heuristic Approach to Product Design, Management Science 33 (12), 1523–1533.
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.
Kohli, R. and R. Sukumar (1990), Heuristics for Product-Line Design Using Conjoint Analysis, Management Science 36(12), 1464–1478.
Lancaster, K. (1997), Markets and Product Variety Management, presented at the Product Variety Management Conference, University of California, Los Angeles, January 1997.
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.
May, J.H. (1979), Solving Non-Linear Programs without Using Analytic Derivatives, Operations Research 27, 457–484.
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.
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.
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.
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.
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.
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.
Perkins, A.G. (1994), Product Variety: Beyond Black, Harvard Business Review 72 (6), 13–14.
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.
Reeves, G.R. and J.R. Sweigart (1981), Product-Mix Models When Learning Effects Are Present, Management Science 27 (2), 204–212.
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.
Robinson, W. T. (1988), Marketing Mix Reactions to Entry, Marketing Science 7(4), 368–385.
Rosendahl, I. (1995), Finding the Correct Product Assortment Can Be Tricky, Drug Topics 139 (12), 57–58.
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.
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.
Shocker, A.D. and V. Srinivasan (1974), A Consumer-Based Methodology for the Identification of New Product Ideas, Management Science 20 (6), 921–937.
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.
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.
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.
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.
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.
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.
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.
Zufryden, F.S. (1982), Product Line Optimization by Integer Programming, Presented at the Spring 1982 National ORSA/TIMS Conference, San Diego, CA.
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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
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