Master production schedule time interval strategies in make-to-order supply chains

被引:21
|
作者
Robinson, E. Powell, Jr. [1 ]
Sahin, Funda [2 ]
Gao, Li-Lian [3 ]
机构
[1] Texas A&M Univ, College Stn, TX 77843 USA
[2] Univ Tennessee, Knoxville, TN 37996 USA
[3] Hofstra Univ, Hempstead, NY 11550 USA
关键词
materials requirement planning; master production scheduling; dynamic demand; simulation;
D O I
10.1080/00207540600957381
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
While the literature primarily addresses MPS design from the manufacturer's perspective, this research considers MPS policy design in a two-stage rolling schedule environment with a particular focus on the policy governing schedule flexibility in the non-frozen time interval (i.e. liquid versus slushy orders). Using computer simulation, we experimentally evaluate the impact of four MPS design factors (non-frozen interval policy, planning horizon length, frozen interval length and re-planning frequency) and four environmental factors (natural order cycle length, vendor flexibility, demand range and demand lumpiness) on MPS schedule cost and instability. The experimental design considers the often-conflicting impact of MPS policy on the channel members by capturing performance metrics at the manufacturer, vendor and system level. The research findings indicate that moving from a liquid to a slushy non-interval strategy increases the manufacturer's costs, but may result in an even greater cost reduction for the vendor resulting in lower system costs. The economic benefit of the slushy strategy is directly tied to the vendor's relative flexibility in responding to the manufacturer's orders on a lot-for-lot basis. High vendor flexibility favours the liquid strategy, while low vendor flexibility favours the slushy strategy.
引用
收藏
页码:1933 / 1954
页数:22
相关论文
共 50 条
  • [1] Efficient purchasing in make-to-order supply chains
    Jahnukainen, J
    Lahti, M
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 1999, 59 (1-3) : 103 - 111
  • [2] Setting planned lead times for a make-to-order production system with master schedule smoothing
    Teo, Chee-Chong
    Bhatnagar, Rohit
    Graves, Stephen C.
    [J]. IIE TRANSACTIONS, 2011, 43 (06) : 399 - 414
  • [3] Combined make-to-order/make-to-stock supply chains
    Kaminsky, Philip
    Kaya, Onur
    [J]. IIE TRANSACTIONS, 2009, 41 (02) : 103 - 119
  • [4] Information sharing and coordination in make-to-order supply chains
    Funda, SA
    Robinson, EP
    [J]. JOURNAL OF OPERATIONS MANAGEMENT, 2005, 23 (06) : 579 - 598
  • [5] Joint multi-objective master production scheduling and rolling horizon policy analysis in make-to-order supply chains
    Nedaei, H.
    Mahlooji, H.
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2014, 52 (09) : 2767 - 2787
  • [6] An Agent-Based Model of Make-to-Order Supply Chains
    Li, Jing
    Sheng, Zhaohan
    [J]. ADVANCES IN SWARM INTELLIGENCE, PT 2, PROCEEDINGS, 2010, 6146 : 108 - +
  • [7] Customized orders management in connected make-to-order supply chains
    Gholami, Amirhosein
    Nezamoddini, Nasim
    Khasawneh, Mohammad T.
    [J]. OPERATIONS MANAGEMENT RESEARCH, 2023, 16 (03) : 1428 - 1443
  • [8] The Role of Commitments in the Management of Construction Make-to-Order Supply Chains
    Isatto, Eduardo L.
    Azambuja, Marcelo
    Formoso, Carlos T.
    [J]. JOURNAL OF MANAGEMENT IN ENGINEERING, 2015, 31 (04)
  • [9] Price and leadtime competition, and coordination for make-to-order supply chains
    Xiao, Tiaojun
    Shi, Jing
    Chen, Guohua
    [J]. COMPUTERS & INDUSTRIAL ENGINEERING, 2014, 68 : 23 - 34
  • [10] Adaptive make-to-order strategy in distributed manufacturing supply chains
    Chan, HK
    Chan, FTS
    Samaranayake, P
    [J]. 2005 3RD IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN), 2005, : 767 - 772