The effect of working environment aspects on a vendor-buyer inventory model

被引:18
|
作者
Sobhani, A. [1 ]
Wahab, M. I. M. [2 ]
Jaber, M. Y. [2 ]
机构
[1] Oakland Univ, Sch Business Adm, 275 Varner Dr, Rochester, MI 48309 USA
[2] Ryerson Univ, Dept Mech & Ind Engn, 350 Victoria St, Toronto, ON M5B 2K3, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Vendor-buyer inventory model; Physical risk factors; Psychosocial risk factors; Defective items; LOW-BACK-PAIN; PSYCHOSOCIAL RISK-FACTORS; LOT-SIZE MODEL; MUSCULOSKELETAL SYMPTOMS; QUALITY RELATIONSHIP; OCCUPATIONAL-HEALTH; ECONOMIC-ASSESSMENT; PRODUCTIVITY LOSS; SUPPLY CHAIN; HUMAN ERROR;
D O I
10.1016/j.ijpe.2018.11.017
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Working Environment (WE) refers to all working conditions that influence a workplace and related human health. Human beings are critical resources of competitive advantage that improve a company's performance. A detrimental "WE" causes occupational illnesses and fatigue that reduce work quality. Since humans are involved in all stages of operations in companies, this health-related performance loss can negatively impact the performance of inventory systems. Despite its importance, surprisingly WE-related performance losses have not been investigated in a supply chain context. This paper, therefore, integrates WE design into a two-level (vendor-buyer) supply chain and investigates its effect on production and inventory decisions. A poor WE design increases workers' errors that generate defective items, which subsequently deteriorates the performance (total cost) of an inventory system. Better WE conditions improve system performance as a result of more efficient production and inventory policy.
引用
收藏
页码:171 / 183
页数:13
相关论文
共 50 条
  • [1] A Decision Making Model for Vendor-Buyer Inventory Systems
    Wee, Hui-Ming
    Lu, Jie
    Zhang, Guangquan
    Chiao, Huai-En
    Gao, Ya
    [J]. ROUGH SETS, FUZZY SETS, DATA MINING AND GRANULAR COMPUTING, PROCEEDINGS, 2009, 5908 : 336 - +
  • [2] An integrated vendor-buyer inventory model with partial backordering
    Moshrefi, Fateh
    Jokar, Mohammad Reza Akbari
    [J]. JOURNAL OF MANUFACTURING TECHNOLOGY MANAGEMENT, 2012, 23 (07) : 869 - 884
  • [3] Optimal strategy for the integrated vendor-buyer inventory model
    Viswanathan, S
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 1998, 105 (01) : 38 - 42
  • [4] Inventory policy decision under an integrated vendor-buyer cooperative inventory model
    Zhang, Peng
    Xu, Jie
    [J]. PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON EDUCATION, MANAGEMENT, INFORMATION AND MEDICINE (EMIM 2015), 2015, 8 : 977 - 982
  • [5] An integrated vendor-buyer cooperative inventory model for items with imperfect quality
    Huang, CK
    [J]. PRODUCTION PLANNING & CONTROL, 2002, 13 (04) : 355 - 361
  • [6] An integrated vendor-buyer inventory model with order processing cost reduction
    Huang, Chao-Kuei
    Cheng, Tzu-Liang
    Tsai, Deng-Maw
    Wu, Ji-Cheng
    [J]. JOURNAL OF INTERDISCIPLINARY MATHEMATICS, 2007, 10 (04) : 559 - 567
  • [7] An integrated vendor-buyer inventory model with transportation cost and stochastic demand
    Darma Wangsa, Ivan
    Wee, Hui Ming
    [J]. INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE-OPERATIONS & LOGISTICS, 2018, 5 (04) : 295 - 309
  • [8] Integrated vendor-buyer inventory model with fuzzy retail priceelasticity coefficient
    Chiu, Chui-Yu
    Lin, Zhi-Ping
    Kuo, I-Ting
    Ku, Ho-Chun
    [J]. JOURNAL OF STATISTICS & MANAGEMENT SYSTEMS, 2010, 13 (02): : 225 - 241
  • [9] Stochastic Vendor-buyer Inventory System with Defective Items
    Wu, Shusheng
    Liu, Jinyuan
    Lo, Pin-Yi
    [J]. IAENG International Journal of Applied Mathematics, 2024, 54 (04) : 593 - 600
  • [10] The effect of discreteness in vendor-buyer relationships
    Eben-Chaime, M
    [J]. IIE TRANSACTIONS, 2004, 36 (06) : 583 - 589