Processing, Please wait...

  • Publisher Home
  • Home
  • 🔙 Back
  • 📚 Journals
    • ⚙️ IJIEC - Industrial Engineering Computations
    • 🌐 IJDNS - Data and Network Science
    • 🧪 CCL - Current Chemistry Letters
    • 💹 AC - Accounting
    • 🎯 DSL - Decision Science Letters
    • 🚛 USCM - Uncertain Supply Chain Management
    • 🏗️ JPM - Journal of Project Management
    • 🏥 HE - Healthcare Engineering
    • 📈 SCI - Scientometrica
    • 🔩 ESM - Engineering Solid Mechanics
    • 🌿 JFS - Journal of Future Sustainability
    • 💼 MSL - Management Science Letters
  • 📝 Submit Article
  • 📊 Statistics
  • 📋 About
    • 📄 About Us
    • 📰 Blog
    • 📢 News
    • 📧 Contact
  • 📺 Tutorial
  • Search:
  • Advanced Search

Growing Science » International Journal of Industrial Engineering Computations » Minimizing operating expenditures for a manufacturing system featuring quality reassurances, probabilistic failures, overtime, and outsourcing

⭐ Highly Cited Articles

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

Journals

  • IJIEC (804)
  • IJDS (992)
  • DSL (722)
  • ESM (434)
  • CCL (544)
  • JPM (323)
  • AC (567)
  • JFS (101)
  • MSL (2653)
  • USCM (1104)
  • HE (49)
  • SCI (50)

IJIEC Volumes

    • ▼ Volume 17 (77)
      • Issue 1 (21)
      • Issue 2 (30)
      • Issue 3 (26)
    • ▼ Volume 16 (75)
      • Issue 1 (12)
      • Issue 2 (15)
      • Issue 3 (19)
      • Issue 4 (29)
    • ▼ Volume 15 (55)
      • Issue 1 (19)
      • Issue 2 (15)
      • Issue 3 (12)
      • Issue 4 (9)
    • ▼ Volume 14 (50)
      • Issue 1 (11)
      • Issue 2 (15)
      • Issue 3 (9)
      • Issue 4 (15)
    • ▼ Volume 13 (41)
      • Issue 1 (10)
      • Issue 2 (8)
      • Issue 3 (10)
      • Issue 4 (13)
    • ▼ Volume 12 (29)
      • Issue 1 (9)
      • Issue 2 (6)
      • Issue 3 (8)
      • Issue 4 (6)
    • ▼ Volume 11 (36)
      • Issue 1 (9)
      • Issue 2 (8)
      • Issue 3 (9)
      • Issue 4 (10)
    • ▼ Volume 10 (34)
      • Issue 1 (8)
      • Issue 2 (10)
      • Issue 3 (8)
      • Issue 4 (8)
    • ▼ Volume 9 (32)
      • Issue 1 (9)
      • Issue 2 (6)
      • Issue 3 (7)
      • Issue 4 (10)
    • ▼ Volume 8 (30)
      • Issue 1 (9)
      • Issue 2 (7)
      • Issue 3 (8)
      • Issue 4 (6)
    • ▼ Volume 7 (47)
      • Issue 1 (10)
      • Issue 2 (14)
      • Issue 3 (10)
      • Issue 4 (13)
    • ▼ Volume 6 (39)
      • Issue 1 (7)
      • Issue 2 (12)
      • Issue 3 (10)
      • Issue 4 (10)
    • ▼ Volume 5 (47)
      • Issue 1 (13)
      • Issue 2 (12)
      • Issue 3 (12)
      • Issue 4 (10)
    • ▼ Volume 4 (50)
      • Issue 1 (14)
      • Issue 2 (10)
      • Issue 3 (12)
      • Issue 4 (14)
    • ▼ Volume 3 (77)
      • Issue 1 (10)
      • Issue 2 (15)
      • Issue 3 (20)
      • Issue 4 (12)
      • Issue 5 (20)
    • ▼ Volume 2 (68)
      • Issue 1 (12)
      • Issue 2 (20)
      • Issue 3 (20)
      • Issue 4 (16)
    • ▼ Volume 1 (17)
      • Issue 1 (9)
      • Issue 2 (8)

🔑 Keywords

Supply chain management(168)
Jordan(167)
Vietnam(154)
Customer satisfaction(124)
Performance(116)
Supply chain(113)
Artificial intelligence(99)
Competitive advantage(98)
Service quality(98)
Tehran Stock Exchange(94)
SMEs(92)
Sustainability(91)
optimization(88)
TOPSIS(85)
Trust(84)
Financial performance(84)
Job satisfaction(81)
Knowledge Management(80)
Genetic Algorithm(80)
Social media(79)


» Show all keywords

✍️ Authors

Naser Azad(83)
Zeplin Jiwa Husada Tarigan(67)
Mohammad Reza Iravani(64)
Endri Endri(45)
Muhammad Alshurideh(42)
Hotlan Siagian(40)
Dmaithan Almajali(38)
Jumadil Saputra(36)
Muhammad Turki Alshurideh(35)
Ahmad Makui(33)
Barween Al Kurdi(32)
Sautma Ronni Basana(31)
Basrowi Basrowi(31)
Hassan Ghodrati(31)
Mohammad Khodaei Valahzaghard(30)
Haitham M. Alzoubi(30)
Shankar Chakraborty(29)
Ni Nyoman Kerti Yasa(29)
Prasadja Ricardianto(28)
Sulieman Ibraheem Shelash Al-Hawary(28)


» Show all authors

🌍 Countries

1. Algeria (52)
2. Angola (2)
3. Argentina (22)
4. Armenia (2)
5. Australia (52)
6. Austria (2)
7. Bahrain (26)
8. Bangladesh (58)
9. Belarus (4)
10. Belgium (3)
11. Benin (2)
12. Benin Republic (1)
13. Bhutan (1)
14. Bosnia and Herzegovina (1)
15. Botswana (8)
16. Brazil (40)
17. Brunei (1)
18. Bulgaria (1)
19. Burkina Faso (1)
20. Cameroon (1)
Total: 121 countries

Show all countries
International Journal of Industrial Engineering Computations
ISSN 1923-2934 (Online) - ISSN 1923-2926 (Print)
Quarterly Publication
Volume 14 Issue 1 pp. 83-98, 2023

Minimizing operating expenditures for a manufacturing system featuring quality reassurances, probabilistic failures, overtime, and outsourcing Pages 83-98 Right click to download the paper Download PDF

Authors: Yuan-Shyi Peter Chiu, Singa Wang Chiu, Fan-Yun Pai, Victoria Chiu

📋 Author Affiliations:
Yuan-Shyi Peter Chiu1, Singa Wang Chiu2, Fan-Yun Pai3, Victoria Chiu4
1 Department of Industrial Engineering and Management, Chaoyang University of Technology, Taichung, Taiwan, N/A
2 Department of Business Administration, Chaoyang University of Technology, Taiwan, N/A
3 Department of Business Administration, National Changhua University of Education, Changhua County, Taiwan, N/A
4 Department of Accounting, Finance and Law, The State University of New York at Oswego, 13126, NY, United States, N/A
doi 10.5267/j.ijiec.2022.10.001
5 Source: Scopus
Crossref 3 Source: CrossRef

🔑 Keywords: Manufacturing planning, Operating expenditures, Quality reassurances, Probabilistic failures, Overtime, Outsourcing

Abstract: Production management operating in recent competitive marketplaces must satisfy the client desired quality and shorter order lead-time and avoid internal fabricating disruption caused by inevitable defects and stochastic equipment failures. Achieving these operational tasks without undesirable quality goods, missing due dates, and fabrication interruption help the management minimize operating expenditures. Motivated by assisting manufacturing firms in the situations mentioned this study explores a manufacturing system that features quality reassurances through reworking or removal of defectives, correction of probabilistic failures, and partial overtime and outsourcing options for reducing uptime. This study finds the function of system operating expenditures through model building, mathematical formulations, optimization approaches, and algorithm proposition, shows its convexity, and derives the optimal batch time for the studied manufacturing model. Finally, this study offers numerical illustrations to confirm our work’s applicability and disclose its capability to provide various profound crucial system information that helps the management make strategic operating decisions.

How to cite this paper
APA: Chiu, Y., Chiu, S., Pai, F & Chiu, V. (2023). Minimizing operating expenditures for a manufacturing system featuring quality reassurances, probabilistic failures, overtime, and outsourcing. International Journal of Industrial Engineering Computations, 14(1), 83-98.
Chicago/Turabian: Chiu, Y., Chiu, S., Pai, F & Chiu, V. 2023. "Minimizing operating expenditures for a manufacturing system featuring quality reassurances, probabilistic failures, overtime, and outsourcing." International Journal of Industrial Engineering Computations 14, no. 1 (2023): 83-98.
AMA: Chiu, Y., Chiu, S., Pai, F & Chiu, V. Minimizing operating expenditures for a manufacturing system featuring quality reassurances, probabilistic failures, overtime, and outsourcing. International Journal of Industrial Engineering Computations. 2023;14(1):83-98.

References
Chiu, S.W. (2010). Robust planning in optimization for production system subject to random machine breakdown and failure in rework. Computers & Operations Research, 37(5), 899-908.
Chiu, S.W., You, L-W., Sung, P-C., & Wang, Y. (2020) Determining the fabrication runtime for a buyer-vendor system with stochastic breakdown, accelerated rate, repairable items, and multi-delivery strategy. International Journal of Industrial Engineering Computations, 11(4), 491-508.
Chiu, S.W., Wu, H.-Y., Yeh, T.-M., & Wang, Y. (2021a). Solving a hybrid batch production problem with unreliable equipment and quality reassurance. International Journal of Industrial Engineering Computations, 12(3), 235-248.
Chiu, Y.-S.P., Chiu, T., Pai, F.-Y., & Wu, H.Y. (2021b). A producer-retailer incorporated multi-item EPQ problem with delayed differentiation, the expedited rate for common parts, multi-delivery and scrap. International Journal of Industrial Engineering Computations, 12(4), 427-440.
Çimen, T., Baykasoğlu, A., & Akyol, S.D. (2022). Assembly line rebalancing and worker assignment considering ergonomic risks in an automotive parts manufacturing plant. International Journal of Industrial Engineering Computations, 13(3), 363-384.
Dekker, H.C., Mooi, E., & Visser, A. (2020). Firm enablement through outsourcing: A longitudinal analysis of how outsourcing enables process improvement under financial and competence constraints. Industrial Marketing Management, 90, 124-132.
Dewi, Hajadi, F., Handranata, Y.W., & Herlina, M.G. (2021). The effect of service quality and customer satisfaction toward customer loyalty in service industry. Uncertain Supply Chain Management, 9(3), 631-636.
Di Nardo, M., Madonna, M., Addonizio, P., & Gallab, M. (2021). A mapping analysis of maintenance in Industry 4.0. Journal of Applied Research and Technology, 19(6), 653-675.
Ebrahim, Z., & Abdul Rasib, A.H. (2017). Unnecessary overtime as a component of time loss measures in assembly processes. Journal of Advanced Manufacturing Technology, 11(1), 37-47.
Gupta, P., Chawla, V.K., Jain, V., & Angra, S. (2022). Green operations management for sustainable development: An explicit analysis by using fuzzy best-worst method. Decision Science Letters, 11(3), 357-366.
Heydari, J., Govindan, K., Ebrahimi Nasab, H.R., & Taleizadeh, A.A. (2020). Coordination by quantity flexibility contract in a two-echelon supply chain system: Effect of outsourcing decisions. International Journal of Production Economics, 225, Art. No. 107586.
Iqbal, T. (2020). Investigating logistics issues in service quality of smes in Saudi Arabia. Uncertain Supply Chain Management, 8(4), 875-886.
Ishida, Y., Murayama, H., & Fukuda, Y. (2020). Association Between Overtime-Working Environment and Psychological Distress Among Japanese Workers: A Multilevel Analysis. Journal of occupational and environmental medicine, 62(8), 641-646.
Jaehn, F., Kovalev, S., Kovalyov, M.Y., & Pesch, E. (2014). Multiproduct batching and scheduling with buffered rework: The case of a car paint shop. Naval Research Logistics, 61(6), 458-471.
Kahar, A., Muh. Ikbal, A., Tampang, Masdar, R., & Masrudin (2022). Value chain analysis of total quality control, quality performance and competitive advantage of agricultural SMEs. Uncertain Supply Chain Management, 10(2), 551-558.
Kaviyarasu, V., & Sivakumar, P. (2022). Optimization of bayesian repetitive group sampling plan for quality determination in pharmaceutical products and related materials. International Journal of Industrial Engineering Computations, 13(1), 31-42.
Lusa, A., Pastor, R., & Corominas, A. (2008). Determining the most appropriate set of weekly working hours for planning annualised working time. International Journal of Production Economics, 111, 697-706.
Mabrouk, N.B. (2020). Green supplier selection using fuzzy delphi method for developing sustainable supply chain. Decision Science Letters, 10(1), 63-70.
Moon, Y. (2010). Efforts and efficiency in partial outsourcing and investment timing strategy under market uncertainty. Computers & Industrial Engineering, 59(1), 24-33.
Najafi, M., Ghodratnama, A., Pasandideh, S.H.R. (2018). Solving a deterministic multi-product single-machine EPQ model with partial backordering, scrapped products and rework. International Journal of Supply and Operations Management, 5(1), 11-27.
Ouaddi, K., Mhada, F.-Z., & Benadada, Y. (2020). Memetic algorithm for multi-tours dynamic vehicle routing problem with overtime (Mdvrpot). International Journal of Industrial Engineering Computations, 11(4), 643-662.
Patil, A.S., Pisal, M.V., & Suryavanshi, C.T. (2021). Application of value stream mapping to enhance productivity by reducing manufacturing lead time in a manufacturing company: A case study. Journal of Applied Research and Technology, 19(1), 11-22.
Rafiee, K., Rabbani, M., Rafiei, H., & Rahimi-Vahed, A. (2011) A new approach towards integrated cell formation and inventory lot sizing in an unreliable cellular manufacturing system. Applied Mathematical Modelling, 35(4), 1810-1819.
Ramasubbu, N., Shang, J., May, J.H., Tjader, Y., & Vargas, L. (2019). Task interdependence and firm performance in outsourced service operations. Manufacturing and Service Operations Management, 21(3), 658-673.
Reynard, P.C. (1998). Manufacturing strategies in the eighteenth century: Subcontracting for growth among papermakers in the Auvergne. Journal of Economic History, 58(1), 155-182.
Rouhani, S., Pishvaee, M.S., & Zarrinpoor, N. (2021). A fuzzy optimization approach to strategic organ transplantation network design problem: A real case study. Decision Science Letters, 10(3), 195-216.
Sung, P.-C., Lai, C.-M., Wang, Y., & Chiu, Y.-S.P. (2022). Minimization of multiproduct fabrication cost featuring rework, commonality, external provider, and postponement. Uncertain Supply Chain Management, 10(2), 353-364.
Waiyawuththanapoom, P., Jermsittiparsert, K. (2022). The role of sustainable HRM in supply chain, profitability and resource utilization. Uncertain Supply Chain Management, 10(2), 365-374.
Youssef, A.M.A., ElMaraghy, M.A. (2008). Performance analysis of manufacturing systems composed of modular machines using the universal generating function. Journal of Manufacturing Systems, 27(2), 55-69.
Zhu, S.X. (2015). Dynamic replenishment from two sources with different yields, costs, and lead times. International Journal of Production Economics, 165(C), 79-89.
  • 34
  • 1
  • 2
  • 3
  • 4
  • 5

📚 Journal: International Journal of Industrial Engineering Computations | 📅 Year: 2023 | 📖 Volume: 14 | 📄 Issue: 1 | 👁️ Views: 1239 | 📊 Crossref: 3

Related Articles:
  • The collective effect of rework, expedited-rate, external source, and machine failures on manufacturing runtime planning
  • Multi-item fabrication-shipment decision model featuring multi-delivery, postponement, quality assurance, and overtime
  • Fabrication runtime decision for a hybrid system incorporating probabilistic breakdowns, scrap, and overtime
  • Minimization of multiproduct fabrication cost featuring rework, commonality, external provider, and postponement
  • A delayed differentiation multiproduct model with the outsourcing of common parts, overtime strategy for end products, and quality reassurance

📝 Ready to share your research?

International Journal of Industrial Engineering Computations is accepting new submissions for upcoming issues. Join our community of authors and publish your work with us.

✓ Open access
✓ Rigorous peer review
✓ Fast publication
📤 Submit Your Manuscript →

📖 Author Guidelines

® 2010-2026 GrowingScience.Com