Fuzzy programming for optimal product mix decisions based on expanded ABC approach

In this paper, we deal with the problem of determining the optimal product mix and production quantities based on expanded ABC (activity-based costing) approach in the presence of obscure estimation of parameters for the capacities of the activities and the demands of each product. First, we give the mixed zero-one programming model such that the profit is maximised subject to capacities of activities and demand of products. Second, to handle vagueness of capacity and demand in real-life production systems in fuzzy environments, fuzzy programming is presented. We employ linear membership functions for the capacity of each activity and demand of each product. Using the data in the study of Kee (1995), we show the usefulness of the fuzzy model.

[1]  Alex Coman,et al.  Production outsourcing: A linear programming model for the Theory-Of-Constraints , 2000 .

[2]  Roland Hellberg,et al.  Relevance lost? A critical discussion of different cost accounting principles in connection with decision making for both short and long term production scheduling , 1991 .

[3]  Robert C. Kee,et al.  A comparative analysis of utilizing activity-based costing and the theory of constraints for making product-mix decisions , 2000 .

[4]  Godfrey C. Onwubolu Tabu search-based algorithm for the TOC product mix decision , 2001 .

[5]  A. Gurses An Activity- Based Costing and Theory of Constraints Model for Product- Mix Decisions , 1999 .

[6]  Ichiro Nishizaki,et al.  Fuzzy programming and profit and cost allocation for a production and transportation problem , 2001, Eur. J. Oper. Res..

[7]  H. Zimmermann Fuzzy programming and linear programming with several objective functions , 1978 .

[8]  Pandian Vasant,et al.  Soft-sensing of level of satisfaction in TOC product-mix decision heuristic using robust fuzzy-LP , 2007, Eur. J. Oper. Res..

[9]  Gerhard Plenert,et al.  Optimizing theory of constraints when multiple constrained resources exist , 1993 .

[10]  Sazali Yaacob,et al.  Fuzzy linear programming with vague objective coefficients in an uncertain environment , 2005, J. Oper. Res. Soc..

[11]  Lawrence D. Fredendall,et al.  Improving the product mix heuristic in the theory of constraints , 1997 .

[12]  Michael Mutingi,et al.  A genetic algorithm approach to the theory of constraints product mix problems , 2001 .

[13]  S. K. Mukherjee,et al.  A fully fuzzified, intelligent theory-of-constraints product-mix decision , 2008 .

[14]  Fernando Bernardi de Souza THEORY OF CONSTRAINTS AND LINEAR PROGRAMMING : A CONCEPTUAL ANALYSIS , .

[15]  Chun Hung Cheng,et al.  Discussion: Theory of constraints and linear programming: A re-examination , 2000 .

[16]  R. Kee Operational Planning and Control with an Activity-Based Costing System , 2003 .

[17]  H. Rommelfanger Fuzzy linear programming and applications , 1996 .

[18]  Byron J. Finch,et al.  Theory of constraints and linear programming: a comparison , 1992 .

[19]  Lawrence D. Fredendall,et al.  The impact of management accounting, product structure, product mix algorithm, and planning horizon on manufacturing performance , 2002 .

[20]  W. G. Sullivan,et al.  Impact of ABC information on product mix and costing decisions , 1995 .

[21]  R. Kee EVALUATING PRODUCT MIX AND CAPITAL BUDGETING DECISIONS WITH AN ACTIVITY-BASED COSTING SYSTEM , 2004 .