Processing, Please wait...

  • Home
  • About Us
  • Search:
  • Advanced Search

Growing Science » International Journal of Industrial Engineering Computations » Mathematical modeling for a multiproduct manufacturing system featuring postponement, external suppliers, overtime, and scrap

Journals

  • IJIEC (777)
  • MSL (2643)
  • DSL (690)
  • CCL (528)
  • USCM (1092)
  • ESM (421)
  • AC (562)
  • JPM (293)
  • IJDS (952)
  • JFS (101)
  • HE (32)
  • SCI (26)

IJIEC Volumes

    • Volume 1 (17)
      • Issue 1 (9)
      • Issue 2 (8)
    • Volume 2 (68)
      • Issue 1 (12)
      • Issue 2 (20)
      • Issue 3 (20)
      • Issue 4 (16)
    • Volume 3 (76)
      • Issue 1 (9)
      • Issue 2 (15)
      • Issue 3 (20)
      • Issue 4 (12)
      • Issue 5 (20)
    • Volume 4 (50)
      • Issue 1 (14)
      • Issue 2 (10)
      • Issue 3 (12)
      • Issue 4 (14)
    • Volume 5 (47)
      • Issue 1 (13)
      • Issue 2 (12)
      • Issue 3 (12)
      • Issue 4 (10)
    • Volume 6 (39)
      • Issue 1 (7)
      • Issue 2 (12)
      • Issue 3 (10)
      • Issue 4 (10)
    • Volume 7 (47)
      • Issue 1 (10)
      • Issue 2 (14)
      • Issue 3 (10)
      • Issue 4 (13)
    • Volume 8 (30)
      • Issue 1 (9)
      • Issue 2 (7)
      • Issue 3 (8)
      • Issue 4 (6)
    • Volume 9 (32)
      • Issue 1 (9)
      • Issue 2 (6)
      • Issue 3 (7)
      • Issue 4 (10)
    • Volume 10 (34)
      • Issue 1 (8)
      • Issue 2 (10)
      • Issue 3 (8)
      • Issue 4 (8)
    • Volume 11 (36)
      • Issue 1 (9)
      • Issue 2 (8)
      • Issue 3 (9)
      • Issue 4 (10)
    • Volume 12 (29)
      • Issue 1 (9)
      • Issue 2 (6)
      • Issue 3 (8)
      • Issue 4 (6)
    • Volume 13 (41)
      • Issue 1 (10)
      • Issue 2 (8)
      • Issue 3 (10)
      • Issue 4 (13)
    • Volume 14 (50)
      • Issue 1 (11)
      • Issue 2 (15)
      • Issue 3 (9)
      • Issue 4 (15)
    • Volume 15 (55)
      • Issue 1 (19)
      • Issue 2 (15)
      • Issue 3 (12)
      • Issue 4 (9)
    • Volume 16 (75)
      • Issue 1 (12)
      • Issue 2 (15)
      • Issue 3 (19)
      • Issue 4 (29)
    • Volume 17 (51)
      • Issue 1 (21)
      • Issue 2 (30)

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(87)
Sustainability(86)
Artificial intelligence(85)
Financial performance(84)
Trust(83)
TOPSIS(83)
Job satisfaction(81)
Genetic Algorithm(78)
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(2192)
Indonesia(1311)
Jordan(813)
India(793)
Vietnam(510)
Saudi Arabia(478)
Malaysia(444)
China(231)
United Arab Emirates(226)
Thailand(160)
United States(114)
Ukraine(110)
Turkey(110)
Egypt(106)
Peru(94)
Canada(93)
Morocco(86)
Pakistan(85)
United Kingdom(80)
Nigeria(78)


» Show all countries

International Journal of Industrial Engineering Computations

ISSN 1923-2934 (Online) - ISSN 1923-2926 (Print)
Quarterly Publication
Volume 13 Issue 1 pp. 1-12 , 2022

Mathematical modeling for a multiproduct manufacturing system featuring postponement, external suppliers, overtime, and scrap Pages 1-12 Right click to download the paper Download PDF

Authors: Yuan-Shyi P. Chiu, Jian-Hua Lian, Victoria Chiu, Yunsen Wang, Hsiao-Chun Wu

DOI: 10.5267/j.ijiec.2021.9.003

Keywords: Mathematical modelling, Multiproduct fabrication, External supplier, Overtime, Scrap, Postponement, Rotation cycle, Batch production

Abstract: Manufacturing firms operating in today’s competitive global markets must continuously find the appropriate manufacturing scheme and strategies to effectively meet customer needs for various types of quality of merchandise under the constraints of short order lead-time and limited in-house capacity. Inspired by the offering of a decision-making model to aid smooth manufacturers’ operations, this study builds an analytical model to expose the influence of the outsourcing of common parts, postponement policies, overtime options, and random scrapped items on the optimal replenishment decision and various crucial system performance indices of the multiproduct problem. A two-stage fabrication scheme is presented to handle the products’ commonality and the uptime-reduced strategies to satisfy the short amount of time before the due dates of customers’ orders. A screening process helps identify and remove faulty items to ensure the finished lot’s anticipated quality. Mathematical derivation assists us in finding the manufacturing relevant total cost function. The differential calculus helps optimize the cost function and determine the optimal stock-replenishing rotation cycle policy. Lastly, a simulated numerical illustration helps validate our research result’s applicability and demonstrate the model’s capability to disclose the crucial managerial insights and facilitate manufacturing-relevant decision making.


How to cite this paper
Chiu, Y., Lian, J., Chiu, V., Wang, Y & Wu, H. (2022). Mathematical modeling for a multiproduct manufacturing system featuring postponement, external suppliers, overtime, and scrap.International Journal of Industrial Engineering Computations , 13(1), 1-12.

Refrences
Abdel-Aal, M.A.M. (2019). A robust capacitated lot sizing problem with setup times and overtime decisions with backordering allowed under demand uncertainty. IFAC-Papers OnLine, 52, 589-594.
Abdul Halim, M., Paul, A., Mahmoud, M., Alshahrani, B., Alazzawi, A.Y.M., & Ismail, G.M. (2021). An overtime production inventory model for deteriorating items with nonlinear price and stock dependent demand. Alexandria Engineering Journal, 60(3), 2779-2786.
Alves, A.C., Ferreira, A.C., Maia, L.C., Leão, C.P., & Carneiro, P. (2019). A symbiotic relationship between Lean Production and Ergonomics: Insights from Industrial Engineering final year projects. International Journal of Industrial Engineering and Management, 10(4), 243-256.
Aviv, Y., & Federgruen, A. (2001). Design for postponement: A comprehensive characterization of its benefits under unknown demand distributions. Operations Research, 49(4), 578-598.
Belogusev, V., & Egorov, A. (2019). Development of a method and instruments to assess the build quality and the technical condition of an electric gear actuator for an electromechanical orthosis of a lower limb exoskeleton. Journal of Applied Engineering Science, 17(3), 386-394.
Boctor, F.F., & Poulin, P. (2007). Heuristics for the N-product, M-stage, economic lot sizing and scheduling problem with dynamic demand. International Journal of Production Research, 43(13), 2809-2828.
Cerdá, J., Cafaro, V.G., & Cafaro, D.C. (2020). Synchronizing operations in multiproduct batch facilities producing semi-finished and final products. Industrial and Engineering Chemistry Research, 59(29), 13113-13131.
Ceryan, O., Duenyas, I., & Koren, Y. (2012). Optimal control of an assembly system with demand for the end-product and intermediate components. IIE Transactions, 44(5), 386-403.
Chiu, S.W., Zhao, Z-Y., Chiu, T., & Chiu, Y-S.P. (2020). Combining the delayed differentiation policy and common parts' partial outsourcing strategy into a multi-item fpr-based system. Journal of Applied Engineering Science, 18(2), 273-280.
Chiu, S.W., Chiu, T., Chiu, Y-S.P., & Lin, H-D. (2021). Economic manufacturing quantity model with machine failure, overtime, and rework/disposal of nonconforming items. Management and Production Engineering Review, 12(1), 3-16.
Fontinha, R., Easton, S., & Van Laar, D. (2019). Overtime and quality of working life in academics and nonacademics: The role of perceived work-life balance. International Journal of Stress Management, 26(2), 173-183.
Insinga, R.C., & Werle, M.J. (2020). Linking Outsourcing to Business Strategy. Academy of Management Executive, 14(4), 58-70.
Kenne, J.P., Boukas, E.K., & Gharbi, A. (2003). Control of production and corrective maintenance rates in a multiple-machine, multiple-product manufacturing system. Mathematical and Computer Modelling, 38(3-4), 351-365.
Keyvanshokooh, E., Shi, C., & van Oyen, M.P. (2021). Online advance scheduling with overtime: A primal-dual approach. Manufacturing and Service Operations Management, 23(1), 246-266.
Kundu, A., Guchhait, P., Das, B., & Maiti, M. (2019). A multi-item EPQ model with variable demand in an imperfect production process. Advances in Intelligent Systems and Computing, 699, 217-233.
Nogueira, T.H., Bettoni, A.B., Mendes, G.T.D.O., dos Santos, A.G., & Ravetti, M.G. (2020). Problem on the integration between production and delivery with parallel batching machines of generic job sizes and processing times. Computers and Industrial Engineering, 146, Art. No. 106573
Pasupa, T., & Suzuki, S. (2019). Impact of work-sharing on the performance of production line with heterogeneous workers. International Journal of Industrial Engineering and Management, 10(4), 284-302.
Pinto, L.F.R., Neto, G.C.O., Mummolo, G., Digiesi, S., Facchini, F., & Centoamore, P. (2020). Cleaner production initiatives in a diesel engines factory. International Journal of Industrial Engineering and Management, 11(2), 73-80.
Salehi Amiri, S.A.H., Zahedi, A., Kazemi, M., Soroor, J., & Hajiaghaei-Keshteli, M. (2020). Determination of the optimal sales level of perishable goods in a two-echelon supply chain network. Computers and Industrial Engineering, 139, Art. No. 106156
Sarkar, B., & Moon, I. (2011). An EPQ model with inflation in an imperfect production system. Applied Mathematics and Computation, 217 (13), 6159-6167.
Sarkar, M., & Chung, B.D. (2020). Flexible work-in-process production system in supply chain management under quality improvement. International Journal of Production Research, 58(13), 3821-3838
Sharma, G., & Rai, R.N. (2021). Age based overhaul policy for multiple repairable systems with imperfect maintenance: case study of Aero engines. International Journal of Mathematical, Engineering and Management Sciences, 6(1), 193-206.
Soriano, J., Jalao, E.R., & Martinez, I.A. (2020). Integrated employee scheduling with known employee demand, including breaks, overtime, and employee preferences. Journal of Industrial Engineering and Management, 13(3), 451-463.
Westphal, P., & Sohal, A.S. (2013). Taxonomy of outsourcing decision models. Production Planning & Control, 24(4–5), 347–358.
  • 51
  • 1
  • 2
  • 3
  • 4
  • 5

Journal: International Journal of Industrial Engineering Computations | Year: 2022 | Volume: 13 | Issue: 1 | Views: 1608 | Reviews: 0

Related Articles:
  • A producer-retailer incorporated multi-item EPQ problem with delayed differ ...
  • A delayed differentiation multiproduct model with the outsourcing of common ...
  • A postponement model for multi-item replenishment decision considering over ...
  • Optimization of an integrated batch production and maintenance scheduling o ...
  • Multi products single machine EPQ model with immediate rework process

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