Available-to-promise based bidding decision by fuzzy mathematical programming and genetic algorithm

  • Authors:
  • Chi-Bin Cheng;Chao-Jung Cheng

  • Affiliations:
  • Department of Information Management, Tamkang University, 151 Yingzhuan Rd., Danshui Dist., New Taipei City, Taiwan;Department of Information Engineering, Kun Shan University, 949 Dawan Rd., Yongkang Dist., Tainan City, Taiwan

  • Venue:
  • Computers and Industrial Engineering
  • Year:
  • 2011

Quantified Score

Hi-index 0.00

Visualization

Abstract

The present study attempts to integrate bidding decisions with order promising and production planning to enhance supplier profitability and service level. This study formulates the bid price and production plan as a mixed integer programming model with fuzzy constraints. The fuzzy constraints represent the decision-maker's subjective judgment regarding the customer's price tolerance. The proposed model combines the advanced available-to-promise (AATP) concept to find optimum resource allocation and enable accurate estimations of production costs and delivery dates. The proposed solution procedure determines the optimum bid price by striking a compromise between profitability and the possibility to win the contract. This study develops a genetic algorithm to solve this problem, and provides computer simulated experiments to evaluate the performance of the proposed approach.