An EPQ inventory model considering an imperfect production system with probabilistic demand and collaborative approach
Purpose: The purpose of this paper is to propose an economic production quantity (EPQ) inventory model considering imperfect items and probabilistic demand for a two-echelon supply chain. The production process is imperfect and the imperfect quality items are removed from the lot size. The demand ra...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2019
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/9193
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/9193
- Palabra clave:
- EPQ model
Inventory
Optimization
Probabilistic demand
Supply chain
- Rights
- restrictedAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
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dc.title.none.fl_str_mv |
An EPQ inventory model considering an imperfect production system with probabilistic demand and collaborative approach |
title |
An EPQ inventory model considering an imperfect production system with probabilistic demand and collaborative approach |
spellingShingle |
An EPQ inventory model considering an imperfect production system with probabilistic demand and collaborative approach EPQ model Inventory Optimization Probabilistic demand Supply chain |
title_short |
An EPQ inventory model considering an imperfect production system with probabilistic demand and collaborative approach |
title_full |
An EPQ inventory model considering an imperfect production system with probabilistic demand and collaborative approach |
title_fullStr |
An EPQ inventory model considering an imperfect production system with probabilistic demand and collaborative approach |
title_full_unstemmed |
An EPQ inventory model considering an imperfect production system with probabilistic demand and collaborative approach |
title_sort |
An EPQ inventory model considering an imperfect production system with probabilistic demand and collaborative approach |
dc.subject.keywords.none.fl_str_mv |
EPQ model Inventory Optimization Probabilistic demand Supply chain |
topic |
EPQ model Inventory Optimization Probabilistic demand Supply chain |
description |
Purpose: The purpose of this paper is to propose an economic production quantity (EPQ) inventory model considering imperfect items and probabilistic demand for a two-echelon supply chain. The production process is imperfect and the imperfect quality items are removed from the lot size. The demand rate of the inventory system is random and follows an exponential probability density function and the demand of the retailers is depending on the initiatives of the sales team. Design/methodology/approach: Two approaches are examined. In the non-collaborative approach, any member of the supply chain can be the leader and takes decisions to optimize the profits, and in the collaborative system, all members make joint decisions about the production, supply, sales and inventory to optimize the profits of the supply chain members. The calculus approach is applied to find the maximum profit related to the members of the supply chain. Findings: A numerical example is presented to illustrate the performance of the EPQ model. The results show that collaborative approach generates greater profits to the supply chain and the market’s demand represents the variable behavior and uncertainty that is generated in the replenishment of a supply chain. Originality/value: The new and major contributions of this research are: the inventory model considers demand for products is random variable which follows an exponential probability distribution function and it also depends on the initiatives of sales teams, the imperfect production system generates defective items, different cycle time are considered in manufacturer and retailers and collaborative and non-collaborative approaches are also studied. © 2019, Emerald Publishing Limited. |
publishDate |
2019 |
dc.date.issued.none.fl_str_mv |
2019 |
dc.date.accessioned.none.fl_str_mv |
2020-03-26T16:33:11Z |
dc.date.available.none.fl_str_mv |
2020-03-26T16:33:11Z |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.type.driver.none.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.spa.none.fl_str_mv |
Artículo |
dc.identifier.citation.none.fl_str_mv |
Journal of Advances in Management Research |
dc.identifier.issn.none.fl_str_mv |
09727981 |
dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12585/9193 |
dc.identifier.doi.none.fl_str_mv |
10.1108/JAMR-07-2019-0141 |
dc.identifier.instname.none.fl_str_mv |
Universidad Tecnológica de Bolívar |
dc.identifier.reponame.none.fl_str_mv |
Repositorio UTB |
dc.identifier.orcid.none.fl_str_mv |
57193504630 57193533853 57211959662 6602152047 57194034904 15078194000 6506675064 |
identifier_str_mv |
Journal of Advances in Management Research 09727981 10.1108/JAMR-07-2019-0141 Universidad Tecnológica de Bolívar Repositorio UTB 57193504630 57193533853 57211959662 6602152047 57194034904 15078194000 6506675064 |
url |
https://hdl.handle.net/20.500.12585/9193 |
dc.language.iso.none.fl_str_mv |
eng |
language |
eng |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_16ec |
dc.rights.uri.none.fl_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0/ |
dc.rights.accessrights.none.fl_str_mv |
info:eu-repo/semantics/restrictedAccess |
dc.rights.cc.none.fl_str_mv |
Atribución-NoComercial 4.0 Internacional |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0/ Atribución-NoComercial 4.0 Internacional http://purl.org/coar/access_right/c_16ec |
eu_rights_str_mv |
restrictedAccess |
dc.format.medium.none.fl_str_mv |
Recurso electrónico |
dc.format.mimetype.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Emerald Group Publishing Ltd. |
publisher.none.fl_str_mv |
Emerald Group Publishing Ltd. |
dc.source.none.fl_str_mv |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075526753&doi=10.1108%2fJAMR-07-2019-0141&partnerID=40&md5=fe14ffe1c6a8144f52e7ec5f5106f4c5 |
institution |
Universidad Tecnológica de Bolívar |
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2020-03-26T16:33:11Z2020-03-26T16:33:11Z2019Journal of Advances in Management Research09727981https://hdl.handle.net/20.500.12585/919310.1108/JAMR-07-2019-0141Universidad Tecnológica de BolívarRepositorio UTB571935046305719353385357211959662660215204757194034904150781940006506675064Purpose: The purpose of this paper is to propose an economic production quantity (EPQ) inventory model considering imperfect items and probabilistic demand for a two-echelon supply chain. The production process is imperfect and the imperfect quality items are removed from the lot size. The demand rate of the inventory system is random and follows an exponential probability density function and the demand of the retailers is depending on the initiatives of the sales team. Design/methodology/approach: Two approaches are examined. In the non-collaborative approach, any member of the supply chain can be the leader and takes decisions to optimize the profits, and in the collaborative system, all members make joint decisions about the production, supply, sales and inventory to optimize the profits of the supply chain members. The calculus approach is applied to find the maximum profit related to the members of the supply chain. Findings: A numerical example is presented to illustrate the performance of the EPQ model. The results show that collaborative approach generates greater profits to the supply chain and the market’s demand represents the variable behavior and uncertainty that is generated in the replenishment of a supply chain. Originality/value: The new and major contributions of this research are: the inventory model considers demand for products is random variable which follows an exponential probability distribution function and it also depends on the initiatives of sales teams, the imperfect production system generates defective items, different cycle time are considered in manufacturer and retailers and collaborative and non-collaborative approaches are also studied. © 2019, Emerald Publishing Limited.Recurso electrónicoapplication/pdfengEmerald Group Publishing Ltd.http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/restrictedAccessAtribución-NoComercial 4.0 Internacionalhttp://purl.org/coar/access_right/c_16echttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85075526753&doi=10.1108%2fJAMR-07-2019-0141&partnerID=40&md5=fe14ffe1c6a8144f52e7ec5f5106f4c5An EPQ inventory model considering an imperfect production system with probabilistic demand and collaborative approachinfo:eu-repo/semantics/articleArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_2df8fbb1EPQ modelInventoryOptimizationProbabilistic demandSupply chainSalas-Navarro K.Acevedo Chedid, JaimeÁrquez G.M.Florez W.F.Ospina-Mateus H.Sana S.S.Cárdenas-Barrón L.E.Cárdenas-Barrón, L.E., Sana, S.S., A production-inventory model for a two-echelon supply chain when demand is dependent on sales teams’ initiatives (2014) International Journal of Production Economics, 155, pp. 249-258Chakraborty, T., Giri, B.C., Chaudhuri, K.S., Production lot sizing with process deterioration and machine breakdown (2008) European Journal of Operational Research, 185 (2), pp. 606-618Chung, K.J., Hou, K.L., An optimal production run time with imperfect production processes and allowable shortages (2003) Computers & Operations Research, 30 (4), pp. 483-490Gross, D., Harris, C.M., On one-for-one-ordering inventory policies with state-dependent leadtimes (1971) Operations Research, 19 (3), pp. 735-760Harris, F.W., How many parts to make at once (1913) Factory, the Magazine of Management, 10 (2), pp. 135-136. , 152Hejazi, S.R., Tsou, J.C., Rasti, B.M., Optimal lot size of EPQ model considering imperfect and defective products (2008) Journal of Industrial Engineering International, 4 (7), pp. 59-68Kim, C.H., Hong, Y., An optimal production run length in deteriorating production processes (1999) International Journal of Production Economics, 58 (2), pp. 183-189Kundu, A., Guchhait, P., Panigrahi, G., Maiti, M., An imperfect EPQ model for deteriorating items with promotional effort dependent demand (2017) Journal of Intelligent & Fuzzy Systems, 33 (1), pp. 649-666Lee, S.D., Lan, S.C., Yang, C.M., Economic production lot sizing model with stochastic demand (2014) Asia-Pacific Journal of Operational Research, 31 (3), pp. 1-23Li, N., Chan, F.T., Chung, S.H., Tai, A.H., An EPQ model for deteriorating production system and items with rework (2015) Mathematical Problems in Engineering, 2015, pp. 1-10Mateen, A., Chatterjee, A.K., Mitra, S., VMI for single-vendor multi-retailer supply chains under stochastic demand (2015) Computers & Industrial Engineering, 79, pp. 95-102Navarro, K.S., Chedid, J.A., Florez, W.F., Mateus, H.O., Cárdenas-Barrón, L.E., Sana, S.S., A collaborative EPQ inventory model for a three-echelon supply chain with multiple products considering the effect of marketing effort on demand (2019) Journal of Industrial & Management Optimization, pp. 272-283Pal, B., Sana, S., Chaudhuri, K., A mathematical model on EPQ for stochastic demand in an imperfect production system (2013) Journal of Manufacturing Systems, 32 (1), pp. 260-270Pal, S., Mahapatra, G.S., A manufacturing-oriented supply chain model for imperfect quality with inspection errors, stochastic demand under rework and shortages (2017) Computers & Industrial Engineering, 106, pp. 299-314Rosenblatt, M.J., Lee, H.L., Economic production cycles with imperfect production processes (1986) IIE transactions, 18 (1), pp. 48-55Sajadieh, M.S., Larsen, C., A coordinated manufacturer-retailer model under stochastic demand and production rate (2015) International Journal of Production Economics, 168, pp. 64-70Salas-Navarro, K., Maiguel-Mejía, H., Acevedo-Chedid, J., Inventory management methodology to determine the levels of integration and collaboration in supply chain (2017) Ingeniare, 25 (2), pp. 326-337Salas Navarro, K., Chedid, J.A., Caruso, N.M., Sana, S.S., An inventory model of three-layer supply chain of wood and furniture industry in the Caribbean region of Colombia (2018) International Journal of Systems Science: Operations & Logistics, 5 (1), pp. 69-86Sana, S.S., Chedid, J.A., Navarro, K.S., A three layer supply chain model with multiple suppliers, manufacturers and retailers for multiple items (2014) Applied Mathematics and Computation, 229, pp. 139-150Sarkar, B., Moon, I., An EPQ model with inflation in an imperfect production system (2011) Applied Mathematics and Computation, 217 (13), pp. 6159-6167Sarkar, M., Sarkar, B., An economic manufacturing quantity model with probabilistic deterioration in a production system (2013) Economic Modelling, 31, pp. 245-252Taft, E.W., The most economical production lot (1918) Iron Age, 101 (18), pp. 1410-1412Tai, A.H., Economic production quantity models for deteriorating/imperfect products and service with rework (2013) Computers & Industrial Engineering, 66 (4), pp. 879-888Wee, H.M., Widyadana, G.A., A production model for deteriorating items with stochastic preventive maintenance time and rework process with FIFO rule (2013) Omega, 41 (6), pp. 941-954Widyadana, G.A., Wee, H.M., An economic production quantity model for deteriorating items with multiple production setups and rework (2012) International Journal of Production Economics, 138 (1), pp. 62-67Zhou, Y.-W., A production-inventory model for a finite time-horizon with linear trend in demand and shortages (1995) Systems Engineering-Theory and Practice, 5, pp. 43-49Zhou, Y.W., Chen, J., Wu, Y., Zhou, W., EPQ models for items with imperfect quality and one-time-only discount (2015) Applied Mathematical Modelling, 39 (3-4), pp. 1000-1018http://purl.org/coar/resource_type/c_6501THUMBNAILMiniProdInv.pngMiniProdInv.pngimage/png23941https://repositorio.utb.edu.co/bitstream/20.500.12585/9193/1/MiniProdInv.png0cb0f101a8d16897fb46fc914d3d7043MD5120.500.12585/9193oai:repositorio.utb.edu.co:20.500.12585/91932023-04-24 08:11:17.891Repositorio Institucional UTBrepositorioutb@utb.edu.co |