Ms. Gökçe Esenduran Profile

Gökçe Esenduran

at Bogazici Univ

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Proceedings Article | 8 December 2004 Paper

Product-line selection and pricing with remanufacturing under availability constraints

Necati Aras, Gökçe Esenduran, I. Kuban Altinel

Proceedings Volume 5583, (2004) https://doi.org/10.1117/12.572218

KEYWORDS: Manufacturing, Genetic algorithms, Instrument modeling, Binary data, Excel, Computer programming, Manufacturing equipment, Data modeling, Analytical research, Algorithms

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Product line selection and pricing are two crucial decisions for the profitability of a manufacturing firm. Remanufacturing, on the other hand, may be a profitable strategy that captures the remaining value in used products. In this paper we develop a mixed-integer nonlinear programming model form the perspective of an original equipment manufacturer (OEM). The objective of the OEM is to select products to manufacture and remanufacture among a set of given alternatives and simultaneously determine their prices so as to maximize its profit. It is assumed that the probability a customer selects a product is proportional to its utility and inversely proportional to its price. The utility of a product is an increasing function of its perceived quality. In our base model, products are discriminated by their unit production costs and utilities. We also analyze a case where remanufacturing is limited by the available quantity of collected remanufacturable products. We show that the resulting problem is decomposed into the pricing and product line selection subproblems. Pricing problem is solved by a variant of the simplex search procedure which can also handle constraints, while complete enumeration and a genetic algorithm are used for the solution of the product line selection problem. A number of experiments are carried out to identify conditions under which it is economically viable for the firm to sell remanufactured products. We also determine the optimal utility and unit production cost values of a remanufactured product, which maximizes the total profit of the OEM.

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