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...

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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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oai_identifier_str oai:repositorio.utb.edu.co:20.500.12585/9193
network_acronym_str UTB2
network_name_str Repositorio Institucional UTB
repository_id_str
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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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
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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
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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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spelling 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