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

Autor:	Chi-Bin Cheng, Chao-Jung Cheng
Rok vydání:	2011
Předmět:	Mathematical optimization Production planning General Computer Science Genetic algorithm General Engineering Economics Resource allocation Bidding Bid price Integer programming Fuzzy logic Available-to-promise
Zdroj:	Computers & Industrial Engineering. 61:993-1002
ISSN:	0360-8352
DOI:	10.1016/j.cie.2011.06.012
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::a9d0a4f0198e82c4ece8f91610c5b9c3 https://doi.org/10.1016/j.cie.2011.06.012 Zobrazit plný text záznamu Full Text from ScienceDirect