Coordination of production and ordering policies under capacity disruption and product write-off risk: an analytical study with real-data based simulations of a fast moving consumer goods company

被引:86
作者
Ivanov, Dmitry [1 ]
Rozhkov, Maxim [2 ]
机构
[1] Berlin Sch Econ & Law, Dept Econ & Business, D-10825 Berlin, Germany
[2] X5 Retail Grp, Moscow, Russia
关键词
Simulation; Ordering; Production; Resilience; SUPPLY CHAIN COORDINATION; CONTINGENCY STRATEGIES; RESILIENCE; MECHANISMS; INVENTORY; MODELS; DETERIORATION; INFORMATION; MITIGATION; NETWORK;
D O I
10.1007/s10479-017-2643-8
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
Performance impacts of ordering and production control policies in the presence of capacity disruptions are studied on the real-life example of a retail supply chain with product perishability considerations. Constraints on product perishability typically result in reductions in safety stock and increases in transportation frequency. Consideration of the production capacity disruption risks may lead to safety stock increases. This trade-off is approached with the help of a simulation model that is used to compare supply chain performance impacts with regard to coordinated and non-coordinated ordering and production control policies. Real data of a fast moving consumer goods company is used to perform simulations and to derive novel managerial insights and practical recommendations on inventory, on-time delivery and service level control. In particular, for the first time, the effect of 'postponed redundancy' has been observed. Moreover, a coordinated production-ordering contingency policy in the supply chain within and after the disruption period has been developed and tested to reduce the negative impacts of the 'postponed redundancy'. The lessons learned from experiments provide evidence that a coordinated policy is advantageous for inventory dynamics stabilization, improvement in on-time delivery, and variation reduction in customer service level.
引用
收藏
页码:387 / 407
页数:21
相关论文
共 61 条
[51]   OR/MS models for supply chain disruptions: a review [J].
Snyder, Lawrence V. ;
Atan, Zumbul ;
Peng, Peng ;
Rong, Ying ;
Schmitt, Amanda J. ;
Sinsoysal, Burcu .
IIE TRANSACTIONS, 2016, 48 (02) :89-109
[52]   Reliability models for facility location: The expected failure cost case [J].
Snyder, LV ;
Daskin, MS .
TRANSPORTATION SCIENCE, 2005, 39 (03) :400-416
[53]   Inventories with Multiple Supply Sources and Networks of Queues with Overflow Bypasses [J].
Song, Jing-Sheng ;
Zipkin, Paul .
MANAGEMENT SCIENCE, 2009, 55 (03) :362-372
[54]   A technique to develop simplified and linearised models of complex dynamic supply chain systems [J].
Spiegler, Virginia L. M. ;
Naim, Mohamed M. ;
Towill, Denis R. ;
Wikner, Joakim .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2016, 251 (03) :888-903
[55]   On the value of mitigation and contingency strategies for managing supply chain disruption risks [J].
Tomlin, Brian .
MANAGEMENT SCIENCE, 2006, 52 (05) :639-657
[56]   Disruption-Management Strategies for Short Life-Cycle Products [J].
Tomlin, Brian .
NAVAL RESEARCH LOGISTICS, 2009, 56 (04) :318-347
[57]   DYNAMIC VERSION OF THE ECONOMIC LOT SIZE MODEL [J].
WAGNER, HM ;
WHITIN, TM .
MANAGEMENT SCIENCE, 1958, 5 (01) :89-96
[58]   Coordination of a supply chain with one-manufacturer and two-retailers under demand promotion and disruption management decisions [J].
Xiao, TJ ;
Yu, G ;
Sheng, ZH ;
Xia, YS .
ANNALS OF OPERATIONS RESEARCH, 2005, 135 (01) :87-109
[59]  
Xu M., 2014, INT J SYSTEMS SCI OP, V1, P105, DOI [DOI 10.1080/23302674.2014.934748, 10.1080/23302674.2014.934748]
[60]   Supply Disruptions, Asymmetric Information, and a Backup Production Option [J].
Yang, Zhibin ;
Aydin, Goeker ;
Babich, Volodymyr ;
Beil, Damian R. .
MANAGEMENT SCIENCE, 2009, 55 (02) :192-209