A generalized approach to demand buffering and production levelling for JIT make-to-stock applications

被引:3
|
作者
Swanson, Ronald E. [1 ]
机构
[1] Clearbrook Consulting, Rochester, NY 14609 USA
来源
关键词
production levelling; JIT scheduling; hejunka; stochastic control; make-to-stock;
D O I
10.1002/cjce.20093
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Heijunka is a Just-In-Time scheduling technique that strives to level variety and/or volume over a fixed period in order to maintain low inventories and to avoid excessive batching of product types and/or volume fluctuations. Businesses that use heijunka scheduling and immediately fulfill customer orders upon receipt require a finished goods inventory to service that demand. This inventory must be appropriately sized to adequately balance the customers' variable demand against the level production rate from manufacturing. However, even producing for long periods of time at the true mean demand rate will not guarantee low inventories due to the random walk nature by which inventories are unavoidably generated. The production process must be willing and able to flex their production to eliminate this random walk. This paper develops the simple production control law that will allow manufacturing to reliably operate their JIT heijunka process. It determines the trade offs that must be made between: the time between fixed production rate changes (N), the finished goods inventory needed to provide a user specified level of backorders, and the flex needed in production capacity to guarantee that the process will continue to function effectively.
引用
收藏
页码:859 / 868
页数:10
相关论文
共 50 条
  • [21] Incentive efficient control of a make-to-stock production system
    Plambeck, EL
    Zenios, SA
    [J]. OPERATIONS RESEARCH, 2003, 51 (03) : 371 - 386
  • [22] On a make-to-stock production/mountain modeln with hysteretic control
    O. Boxma
    A. Löpker
    D. Perry
    [J]. Annals of Operations Research, 2016, 241 : 53 - 82
  • [23] 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
  • [24] Joint management of finished goods inventory and demand process for a make-to-stock product: A computational approach
    Chen, LX
    Feng, YY
    Ou, JH
    [J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2006, 51 (02) : 258 - 273
  • [25] A System Dynamics Approach Towards Analysis of Hybrid Make-to-Stock/Make-to-Order Production Systems
    Jalali, Moeen Sammak
    Ghomi, S. M. T. Fatemi
    Rabbani, Masoud
    [J]. INDUSTRIAL ENGINEERING AND MANAGEMENT SYSTEMS, 2020, 19 (01): : 143 - 163
  • [26] Built-to-Order and Make-to-Stock Competition with Dynamic Behavior of Demand
    Yohanes, K. N.
    [J]. 2008 IEEE INTERNATIONAL CONFERENCE ON MANAGEMENT OF INNOVATION AND TECHNOLOGY, VOLS 1-3, 2008, : 1488 - 1493
  • [27] Capacity coordination under demand uncertainty in a hybrid make-to-stock/make-to-order environment: A system dynamics approach
    Rafiei, H.
    Rabbani, M.
    Hosseini, S. H.
    [J]. SCIENTIA IRANICA, 2014, 21 (06) : 2315 - 2325
  • [28] Capacity coordination in hybrid make-to-stock/make-to-order production environments
    Rafiei, H.
    Rabbani, M.
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2012, 50 (03) : 773 - 789
  • [29] The impact of adding a make-to-order item to a make-to-stock production system
    Federgruen, A
    Katalan, Z
    [J]. MANAGEMENT SCIENCE, 1999, 45 (07) : 980 - 994
  • [30] Optimal admission policy in make-to-stock/make-to-order production systems
    Ernez Gahbiche, Ibtissem
    Hadj Youssef, Khaled
    Jemai, Zied
    [J]. PROCEEDINGS OF INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND SYSTEMS MANAGEMENT (IESM'2011): INNOVATIVE APPROACHES AND TECHNOLOGIES FOR NETWORKED MANUFACTURING ENTERPRISES MANAGEMENT, 2011, : 134 - 143