Design of a replenishment system for a stochastic dynamic production/forecast lot-sizing problem under bullwhip effect

Su, Chwen-Tzeng; Wong, Jui-Tsung

doi:10.1016/j.eswa.2006.08.010

Cited by 24 publications

(9 citation statements)

References 18 publications

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“…OUT policy is easy to understand and is often utilized by factories (Su and Wong (2008)). In this system, level of inventory is reviewed periodically and an order is placed to bring inventory value to a predefined level.…”

Section: Ordering Policymentioning

confidence: 99%

Providing a measure for bullwhip effect in a two-product supply chain with exponential smoothing forecasts

Sadeghi

2015

International Journal of Production Economics

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Section: Ordering Policymentioning

confidence: 99%

Providing a measure for bullwhip effect in a two-product supply chain with exponential smoothing forecasts

Sadeghi

2015

International Journal of Production Economics

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“…Improved demand forecasting Wright & Yuan (2008), Ali, Boylan, & Syntetos (2012), Trapero et al (2012), Dong et al (2014), Sari (2015), Xu, Dong, &Xia (2015), Nagashima et al (2015) 3. Replenishment policy Lee & Wu (2006), Jaksic & Rusjan (2008), Su & Wong (2008), Kelepouris, Miliots, & Pramatari (2008), Dong et al(2014) VMI Disney & Towill (2003) Relationships between trust, collaboration, and BWE Some studies consider trust as a defining characteristic of the presence of collaboration among members of a SC (Vieira et al, 2009). The relationships between trust, collaboration, and the BWE in SCM are discussed as follows.…”

Section: Replenishment (Cpfr) and Vendor Managedmentioning

confidence: 99%

<b>The importance of trust and collaboration between companies to mitigate the bullwhip effect in supply chain management

et al. 2017

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ABSTRACT. The aim of the paper is to develop a theoretical construct about the mitigation of the bullwhip effect, considering trust and collaboration in managing the supply chain. The study presents a qualitative research based on the systematic literature review, which is tested through field research, involving companies in the medical and hospital area belonging to the same supply chain. The bullwhip effect has been observed throughout the industry for many years. Several academic studies have assigned to operating causes the reason for its occurrence. Few studies have focused behavioral causes. Through this study, it appears that affective trust (honesty, mutual understanding, credibility, respect and compliance) and trust in the competence (knowledge/technique, commitment in the relationship) are both necessary for keeping the relationship, but without affective trust, the relationship does not develop. Moreover, an organizational culture based on trust and collaboration exchange, and knowledge related to processes and technology among businesses, contributing to the joint planning and collaboration in the information sharing occurs. Thus, aspects of behavior toward partners of supply chain companies can mitigate the operational causes of the bullwhip effect by improving information and knowledge sharing, demand forecasting, replenishment policy, and reducing the risk coordination among the chain participants.Keywords: trust, collaboration, bullwhip effect, supply chain management.A importância da confiança e colaboração entre empresas para mitigação do efeito chicote na gestão da cadeia de suprimentos RESUMO. O objetivo do artigo é elaborar um construto teórico de mitigação do efeito chicote considerando a confiança e a colaboração no gerenciamento da cadeia de suprimentos. Este estudo apresenta uma pesquisa qualitativa com base na revisão sistemática da literatura em que o construto é testado por meio de um estudo de caso, envolvendo empresas da área médico-hospitalar pertencentes a uma mesma cadeia de suprimentos. O efeito chicote tem sido observado em toda a indústria, durante muitos anos. Vários trabalhos acadêmicos têm investigado esse tema e atribuído às causas operacionais a razão de sua ocorrência. Poucos trabalhos têm se dedicado às causas comportamentais. Este estudo comprova que a confiança afetiva (honestidade, entendimento mútuo, credibilidade, respeito e compliance) e a confiança no conhecimento/técnica e comprometimento no relacionamento são igualmente necessárias para o relacionamento com parceiros, mas se não houver a confiança afetiva, o relacionamento não se desenvolve. Assim, os aspectos do comportamento em relação aos parceiros das empresas de uma cadeia de suprimentos podem mitigar as causas operacionais do efeito chicote, melhorando o compartilhamento de informações e conhecimento, a previsão de demanda, política de reabastecimento e diminuindo o risco de coordenação entre os participantes da cadeia.Palavras-chave: confiança, colaboração, efeito chicote, gestão da cadeia de supriment...

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“…The different types of techniques to solve stochastic programming for LP problems are listed as follows: Programming with recourse, stochastic linear programming, stochastic integer programming, stochastic non-linear programming, Robust Stochastic Programming, Probabilistic Programming, Fuzzy Mathematical Programming, Flexible programming, Possibility programming, and Stochastic Dynamic Programming (Sahinidis, 2003;Ahmed et al 2004;Su & Wong, 2008). It is also important to point that techniques such as Sample Average Approximation (SAA) are very useful to find solutions with stochastic variables (Santoso et al, 2005;Escobar, 2012;Escobar et al, 2012;Escobar, 2009;Escobar et al, 2013;Paz et al, 2015;Mafla & Escobar, 2015).…”

Section: Methodologies For the Solution Of Lp Problemsmentioning

confidence: 99%

A mathematical model for the product mixing and lot-sizing problem by considering stochastic demand

Rodado¹,

Escobar²,

Cáceres³

et al. 2017

10.5267/j.ijiec

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The product-mix planning and the lot size decisions are some of the most fundamental research themes for the operations research community. The fact that markets have become more unpredictable has increaed the importance of these issues, rapidly. Currently, directors need to work with product-mix planning and lot size decision models by introducing stochastic variables related to the demands, lead times, etc. However, some real mathematical models involving stochastic variables are not capable of obtaining good solutions within short commuting times. Several heuristics and metaheuristics have been developed to deal with lot decisions problems, in order to obtain high quality results within short commuting times. Nevertheless, the search for an efficient model by considering product mix and deal size with stochastic demand is a prominent research area. This paper aims to develop a general model for the product-mix, and lot size decision within a stochastic demand environment, by introducing the Economic Value Added (EVA) as the objective function of a product portfolio selection. The proposed stochastic model has been solved by using a Sample Average Approximation (SAA) scheme. The proposed model obtains high quality results within acceptable computing times.

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Design of a replenishment system for a stochastic dynamic production/forecast lot-sizing problem under bullwhip effect

Cited by 24 publications

References 18 publications

Providing a measure for bullwhip effect in a two-product supply chain with exponential smoothing forecasts

Providing a measure for bullwhip effect in a two-product supply chain with exponential smoothing forecasts

<b>The importance of trust and collaboration between companies to mitigate the bullwhip effect in supply chain management

A mathematical model for the product mixing and lot-sizing problem by considering stochastic demand

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