Processing, Please wait...

  • Home
  • About Us
  • 📺 Tutorial
  • Search:
  • Advanced Search

Growing Science » Journal of Project Management » Review evolution of cellular manufacturing system’s approaches: Human resource planning method

📚 Highly Cited Articles

  • Jaya Algorithm
  • Rao Algorithm
  • TLBO Algorithm
  • Discrete Firefly
  • ChatGPT and Blended Learning

Journals

  • IJIEC (777)
  • MSL (2643)
  • DSL (690)
  • CCL (544)
  • USCM (1099)
  • ESM (428)
  • AC (562)
  • JPM (293)
  • IJDS (952)
  • JFS (101)
  • HE (37)
  • SCI (41)

JPM Volumes

    • Volume 11 (46)
      • Issue 1 (24)
      • Issue 2 (22)
    • Volume 10 (68)
      • Issue 1 (15)
      • Issue 2 (21)
      • Issue 3 (13)
      • Issue 4 (19)
    • Volume 9 (35)
      • Issue 1 (6)
      • Issue 2 (5)
      • Issue 3 (9)
      • Issue 4 (15)
    • Volume 8 (21)
      • Issue 1 (6)
      • Issue 2 (5)
      • Issue 3 (5)
      • Issue 4 (5)
    • Volume 7 (21)
      • Issue 1 (5)
      • Issue 2 (5)
      • Issue 3 (5)
      • Issue 4 (6)
    • Volume 6 (20)
      • Issue 1 (5)
      • Issue 2 (5)
      • Issue 3 (5)
      • Issue 4 (5)
    • Volume 5 (20)
      • Issue 1 (5)
      • Issue 2 (5)
      • Issue 3 (5)
      • Issue 4 (5)
    • Volume 4 (24)
      • Issue 1 (4)
      • Issue 2 (8)
      • Issue 3 (8)
      • Issue 4 (4)
    • Volume 3 (17)
      • Issue 1 (4)
      • Issue 2 (5)
      • Issue 3 (4)
      • Issue 4 (4)
    • Volume 2 (13)
      • Issue 1 (4)
      • Issue 2 (3)
      • Issue 3 (3)
      • Issue 4 (3)
    • Volume 1 (8)
      • Issue 1 (5)
      • Issue 2 (3)

🔑 Keywords

Supply chain management(168)
Jordan(165)
Vietnam(151)
Customer satisfaction(120)
Performance(115)
Supply chain(112)
Service quality(98)
Competitive advantage(97)
Tehran Stock Exchange(94)
SMEs(89)
optimization(88)
Artificial intelligence(88)
Sustainability(88)
Financial performance(84)
TOPSIS(83)
Trust(83)
Job satisfaction(81)
Knowledge Management(79)
Factor analysis(78)
Social media(78)


» Show all keywords

✍️ Authors

Naser Azad(82)
Zeplin Jiwa Husada Tarigan(66)
Mohammad Reza Iravani(64)
Endri Endri(45)
Muhammad Alshurideh(42)
Hotlan Siagian(40)
Dmaithan Almajali(37)
Jumadil Saputra(36)
Muhammad Turki Alshurideh(35)
Ahmad Makui(33)
Barween Al Kurdi(32)
Hassan Ghodrati(31)
Basrowi Basrowi(31)
Sautma Ronni Basana(31)
Mohammad Khodaei Valahzaghard(30)
Shankar Chakraborty(29)
Ni Nyoman Kerti Yasa(29)
Haitham M. Alzoubi(28)
Sulieman Ibraheem Shelash Al-Hawary(28)
Prasadja Ricardianto(28)


» Show all authors

🌍 Countries

Iran(2198)
Indonesia(1311)
Jordan(815)
India(798)
Vietnam(510)
Saudi Arabia(479)
Malaysia(449)
China(231)
United Arab Emirates(229)
Thailand(160)
United States(116)
Turkey(114)
Ukraine(110)
Egypt(106)
Peru(94)
Canada(93)
Morocco(87)
Pakistan(85)
United Kingdom(80)
Nigeria(78)


» Show all countries

Journal of Project Management

ISSN 2371-8374 (Online) - ISSN 2371-8366 (Print)
Quarterly Publication
Volume 4 Issue 1 pp. 31-42 , 2019

Review evolution of cellular manufacturing system’s approaches: Human resource planning method Pages 31-42 Right click to download the paper Download PDF

Authors: Aidin Delgoshaei, Armin Delgoshaei, Ahad Ali

doi 10.5267/j.jpm.2018.7.001
Crossmark

Keywords: Human resource management, Cellular Manufacturing systems, Staff planning

Abstract: This paper presents a review of human resource planning methods, related techniques, and their effects on cellular manufacturing systems (CMS). In-depth analysis has been conducted through a review of 43 dominant research papers available in the literature. The advantages, limitations, and drawbacks of material transferring methods have been discussed as well. The domains of the examined studies include some of the important problems in staff planning, such as worker assigning, hiring and firing, optimum number of workers, skilled workers, cross-functional experts, worker satisfaction and outsourcing. The results of this study can fill research gaps and clarify many related questions in CMS problems.

How to cite this paper

Delgoshaei, A., Delgoshaei, A & Ali, A. (2019). Review evolution of cellular manufacturing system’s approaches: Human resource planning method.Journal of Project Management, 4(1), 31-42.

References
Aryanezhad, M., Deljoo, V., & Mirzapour Al-e-hashem, S. (2009). Dynamic cell formation and the worker assignment problem: a new model. The International Journal of Advanced Manufacturing Technology, 41(3-4), 329-342.
Askin, R., & Huang, Y. (1997). Employee training and assignment for facility reconfiguration. Proceedings of the sixth IERC, Miami, FL, 426-431.
Askin, R., & Huang, Y. (2001). Forming effective worker teams for cellular manufacturing. International Journal of Production Research, 39(11), 2431-2451.
Bartholdi, J. J., & Eisenstein, D. D. (1996). A production line that balances itself. Operations Research, 44(1), 21-34.
Black, J., & Schroer, B. J. (1993). Simulation of an apparel assembly cell with walking workers and decouplers. Journal of Manufacturing Systems, 12(2), 170-180.
Cesaní, V. I., & Steudel, H. J. (2005). A study of labor assignment flexibility in cellular manufacturing systems. Computers & industrial engineering, 48(3), 571-591.
Chakravorty, S. S., & Hales, D. N. (2004). Implications of cell design implementation: A case study and analysis. European Journal of Operational Research, 152(3), 602-614.
Chakravorty, S. S., & Hales, D. N. (2008). The evolution of manufacturing cells: An action research study. European Journal of Operational Research, 188(1), 153-168.
Ertay, T., & Ruan, D. (2005). Data envelopment analysis based decision model for optimal operator allocation in CMS. European Journal of Operational Research, 164(3), 800-810.
Fitzpatrick, E. L., & Askin, R. G. (2005). Forming effective worker teams with multi-functional skill requirements. Computers & industrial engineering, 48(3), 593-608.
Gel, E., Hopp, W., & Van Oyen, M. (2000). Workforce agility in systems with hierarchical cross-training. Retrieved from
Hamedi, M., Esmaeilian, G., Ismail, N., & Ariffin, M. (2012). Capability-based virtual cellular manufacturing systems formation in dual-resource constrained settings using Tabu Search. Computers & Industrial Engineering, 62(4), 953-971.
Heady, R. B. (1997). Forming minimum-cost machine cells with exceptional parts using zero-one integer programming. Journal of Manufacturing Systems, 16(2), 79-90.
Hyer, N. L., Brown, K. A., & Zimmerman, S. (1999). A socio-technical systems approach to cell design: case study and analysis. Journal of Operations Management, 17(2), 179-203.
Jensen, J. B. (2000). The impact of resource flexibility and staffing decisions on cellular and departmental shop performance. European Journal of Operational Research, 127(2), 279-296.
Kher, H. V. (2000a). Examination of flexibility acquisition policies in dual resource constrained job shops with simultaneous worker learning and forgetting effects. Journal of the Operational Research Society, 51(5), 592-601.
Kher, H. V. (2000b). Examination of flexibility acquisition policies in dual resource constrained job shops with simultaneous worker learning and forgetting effects. Journal of the Operational Research Society, 592-601.
Kher, H. V., Malhotra, M. K., Philipoom, P. R., & Fry, T. D. (1999). Modeling simultaneous worker learning and forgetting in dual resource constrained systems. European Journal of Operational Research, 115(1), 158-172.
Kleiner, B. M., Drury, C. G., & Palepu, P. (1998). A computer-based productivity and quality management system for cellular manufacturing. Computers & industrial engineering, 34(1), 207-217.
Li, Q., Gong, J., Fung, R. Y., & Tang, J. (2012). Multi-objective optimal cross-training configuration models for an assembly cell using non-dominated sorting genetic algorithm-II. International Journal of Computer Integrated Manufacturing, 25(11), 981-995.
Mahdavi, I., Aalaei, A., Paydar, M. M., & Solimanpur, M. (2010). Designing a mathematical model for dynamic cellular manufacturing systems considering production planning and worker assignment. Computers & Mathematics with Applications, 60(4), 1014-1025.
Mahdavi, I., Aalaei, A., Paydar, M. M., & Solimanpur, M. (2012). A new mathematical model for integrating all incidence matrices in multi-dimensional cellular manufacturing system. Journal of Manufacturing Systems, 31(2), 214-223.
McDonald, T., Ellis, K. P., Van Aken, E. M., & Patrick Koelling, C. (2009). Development and application of a worker assignment model to evaluate a lean manufacturing cell. International Journal of Production Research, 47(9), 2427-2447.
Min, H., & Shin, D. (1993). Simultaneous formation of machine and human cells in group technology: a multiple objective approach. THE INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 31(10), 2307-2318.
Molleman, E., & Slomp, J. (1999). Functional flexibility and team performance. International Journal of Production Research, 37(8), 1837-1858.
Morris, J. S., & Tersine, R. J. (1994). A simulation comparison of process and cellular layouts in a dual resource constrained environment. Computers & industrial engineering, 26(4), 733-741.
Mosier, C. T., & Mahmoodi, F. (2002). Work sequencing in a manufacturing cell with limited labour constraints. International Journal of Production Research, 40(12), 2883-2899.
Norman, B. A., Tharmmaphornphilas, W., Needy, K. L., Bidanda, B., & Warner, R. C. (2002). Worker assignment in cellular manufacturing considering technical and human skills. International Journal of Production Research, 40(6), 1479-1492.
Olorunniwo, F., & Udo, G. (2002). The impact of management and employees on cellular manufacturing implementation. International Journal of Production Economics, 76(1), 27-38.
Papaioannou, G., & Wilson, J. M. (2010). The evolution of cell formation problem methodologies based on recent studies (1997–2008): Review and directions for future research. European Journal of Operational Research, 206(3), 509-521.
Park, T., & Lee, H. (1995). Design of a manufacturing cell in consideration of multiple objective performance measures. Manufacturing research and technology, 24, 181-202.
Saidi-Mehrabad, M., Paydar, M. M., & Aalaei, A. (2013). Production planning and worker training in dynamic manufacturing systems. Journal of Manufacturing Systems, 32(2), 308-314.
Satoglu, S. I., & Suresh, N. C. (2009). A goal-programming approach for design of hybrid cellular manufacturing systems in dual resource constrained environments. Computers & industrial engineering, 56(2), 560-575.
Slomp, J., Chowdary, B. V., & Suresh, N. C. (2005). Design of virtual manufacturing cells: a mathematical programming approach. Robotics and Computer-Integrated Manufacturing, 21(3), 273-288.
Slomp, J., & Molleman, E. (2000). Cross-training policies and performance of teams. Paper presented at the Group technology/cellular manufacturing world symposium.
Slomp, J., & Suresh, N. C. (2005). The shift team formation problem in multi-shift manufacturing operations. European Journal of Operational Research, 165(3), 708-728.
Süer, G. A., Arikan, F., & Babayiğit, C. (2008). Bi-objective cell loading problem with non-zero setup times with fuzzy aspiration levels in labour intensive manufacturing cells. International Journal of Production Research, 46(2), 371-404.
Suer, G. A., & Cedeño, A. A. (1996). A configuration-based clustering algorithm for family formation. Computers & industrial engineering, 31(1), 147-150.
Tompkins, J., White, J., Bozer, Y., & Tanchoco, J. (2003). Facilities planning. 2003: Wiley, New York.
Xu, J., Xu, X., & Xie, S. (2011). Recent developments in Dual Resource Constrained (DRC) system research. European Journal of Operational Research, 215(2), 309-318.
Yu, Y., Tang, J., Gong, J., Yin, Y., & Kaku, I. (2014). Mathematical analysis and solutions for multi-objective line-cell conversion problem. European Journal of Operational Research, 236(2), 774-786.
Yu, Y., Tang, J., Sun, W., Yin, Y., & Kaku, I. (2013). Reducing worker (s) by converting assembly line into a pure cell system. International Journal of Production Economics, 145(2), 799-806.
Zhang, X., Schmidt, L., Schlick, C., Reuth, R., & Luczak, H. (2008). A human task-oriented simulation study in autonomous production cells. International Journal of Production Research, 46(18), 5013-5041.
  • 17
  • 1
  • 2
  • 3
  • 4
  • 5

Journal: Journal of Project Management | Year: 2019 | Volume: 4 | Issue: 1 | Views: 2271 | Reviews: 0

Related Articles:
  • A three-phase heuristic approach to solve an integrated cell formation and production planning problem
  • Manpower allocation in a cellular manufacturing system considering the impact of learning, training and combination of learning and training in operator skills
  • Facility layout for cellular manufacturing system under dynamic conditions
  • A mathematical model in cellular manufacturing system considering subcontracting approach under constraints
  • Virtual cellular manufacturing system based on resource element approach and analyzing its performance over different basic layouts

Add Reviews

Name:*
E-Mail:
Review:
Bold Italic Underline Strike | Align left Center Align right | Insert smilies Insert link URLInsert protected URL Select color | Add Hidden Text Insert Quote Convert selected text from selection to Cyrillic (Russian) alphabet Insert spoiler
winkwinkedsmileam
belayfeelfellowlaughing
lollovenorecourse
requestsadtonguewassat
cryingwhatbullyangry
Security Code: *
Include security image CAPCHA.
Refresh Code

® 2010-2026 GrowingScience.Com