A Order Mix Decision Model for Make-To-Order Enterprise

被引:0
|
作者
Wang Chao [1 ]
机构
[1] Wuhan Univ Technol, Sch Management, Wuhan 430070, Peoples R China
关键词
decision model; enterprise; make-to-order; order mix; PRODUCT MIX; CAPACITY; OPTIMIZATION; CAPABILITY; SYSTEMS;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Make-to-stock and Make-to-order are two generic operation modes commonly used in the manufacturing world. The make-to-order enterprise makes the production systems to produce a product only after it is ordered. The enterprise must decide which orders can be accepted to get the optimal profit and meet the due time. This paper addresses a order mix decision model in a make-to-order operation environment. The mathematical model is proposed to select a set of customer orders to maximize the operational profit such that all the selected orders are fulfilled by their deadline. With a given capacity limit on each resource type and its cost rate, solving this model leads to an optimal production mix for the orders over a given time horizon. The conclusion shows that it is not a optimal choice to accept all customer's orders although they can be produced before deadline. This paper tells the enterprise how to select the order mix according to the cost and production capacity planning.
引用
收藏
页码:541 / 546
页数:6
相关论文
共 50 条
  • [1] Enterprise system manages make-to-order
    Martin, James
    [J]. ID Systems, 2002, 22 (01):
  • [2] Decision of Planning Input for Make-to-Order System
    Zhang, Bi-xi
    Song, Jing
    Hu, Sheng-qiang
    Guan, Ying-ying
    [J]. PROCEEDINGS OF 2012 3RD INTERNATIONAL ASIA CONFERENCE ON INDUSTRIAL ENGINEERING AND MANAGEMENT INNOVATION (IEMI2012), 2013, : 109 - 115
  • [3] Supporting make-to-order
    Ward, Andrew
    [J]. Manufacturing Computer Solutions, 2000, 6 (03): : 42 - 43
  • [4] Cell Design and Routing of Jobs in a Multisite Make-to-Order Enterprise
    Gupta, Manoj
    Bose, R. P. Jagadeesh Chandra
    Dutta, Partha
    [J]. TWENTY-SIXTH INTERNATIONAL CONFERENCE ON AUTOMATED PLANNING AND SCHEDULING (ICAPS 2016), 2016, : 394 - 402
  • [5] Order Acceptance Decision in Make-to-Order System: Satisfaction Level Based Approach
    Sujan, Piya
    Katsuhiko, Takahashi
    Katsumi, Morikawa
    [J]. OPERATIONS AND SUPPLY CHAIN MANAGEMENT-AN INTERNATIONAL JOURNAL, 2012, 5 (02): : 84 - 96
  • [6] Make-to-order or make-to-stock decision by a novel hybrid approach
    Zaerpour, N.
    Rabbani, M.
    Gharehgozli, A. H.
    Tavakkoli-Moghaddam, R.
    [J]. ADVANCED ENGINEERING INFORMATICS, 2008, 22 (02) : 186 - 201
  • [7] A hybrid intelligent model for order allocation planning in make-to-order manufacturing
    Guo, Z. X.
    Wong, W. K.
    Leung, S. Y. S.
    [J]. APPLIED SOFT COMPUTING, 2013, 13 (03) : 1376 - 1390
  • [8] Enterprise Resource Planning systems: An assessment of applicability to Make-To-Order companies
    Aslan, Bulut
    Stevenson, Mark
    Hendry, Linda C.
    [J]. COMPUTERS IN INDUSTRY, 2012, 63 (07) : 692 - 705
  • [9] A new decision-making structure for the order entry stage in make-to-order environments
    Ebadian, M.
    Rabbani, M.
    Jolai, F.
    Torabi, S. A.
    Tavakkoli-Moghaddam, R.
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2008, 111 (02) : 351 - 367
  • [10] Mix flexibility optimisation in hybrid make-to-stock/make-to-order environments in process industries
    Wilson, Shellyanne
    [J]. COGENT ENGINEERING, 2018, 5 (01): : 1 - 17