A tactical supply chain planning model with multiple flexibility options: an empirical evaluation

Esmaeilikia, Masoud; Fahimnia, Behnam; Sarkis, Joseph; Govindan, Kannan; Kumar, Arun; Mo, John P.T.

doi:10.1007/s10479-013-1513-2

Cited by 41 publications

(36 citation statements)

References 79 publications

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“…More details on the CE method can be found in Kroese, 2004, 2007). Successful applications of the CE method have been reported in different optimization problems such as buffer allocation (Alon et al, 2005), capacitated lot-sizing (Caserta and Rico, 2009), vehicle routing (Wang and Qiu, 2012), project scheduling (Bendavid and Golany, 2011), network design (Altiparmak and Dengiz, 2009) and more recently in SC planning (Esmaeilikia et al, 2014;Fahimnia et al, 2014b). …”

Section: The Nice Solution Methodsmentioning

confidence: 99%

Tactical supply chain planning under a carbon tax policy scheme: A case study

Fahimnia

Sarkis

Choudhary

et al. 2015

International Journal of Production Economics

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130

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Greenhouse gas emissions are receiving greater scrutiny in many countries due to international forces to reduce anthropogenic global climate change. Industry and their supply chains represent a major source of these anthropogenic emissions. This paper presents a tactical supply chain planning model that integrates economic and carbon emission objectives under a carbon tax policy scheme. A modified Cross-Entropy solution method is adopted to solve the proposed nonlinear supply chain planning model. Numerical experiments are completed utilizing data from an actual organization in Australia where a carbon tax is in operation. The analyses of the numerical results provide important organizational and policy insights on (1) the financial and emissions reduction impacts of a carbon tax at the tactical planning level, (2) the use of cost/emission tradeoff analysis for making informed decisions on investments, (3) the way to price carbon for maximum environmental returns per dollar increase in supply chain cost.

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Section: The Nice Solution Methodsmentioning

confidence: 99%

Tactical supply chain planning under a carbon tax policy scheme: A case study

Fahimnia

Sarkis

Choudhary

et al. 2015

International Journal of Production Economics

Self Cite

130

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“…Flexibility has attracted much interest in commercial SC (CSC) management (Maria Jesus Saenz et al 2015;Esmaeilikia et al 2016). We focus here specifically on the humanitarian context but we complement our review with CSC findings if literature is sparse.…”

Section: Literature Reviewmentioning

confidence: 99%

Defining and measuring the network flexibility of humanitarian supply chains: insights from the 2015 Nepal earthquake

Baharmand

Lauras

2017

Ann Oper Res

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The efficient and effective response to disasters critically depends on humanitarian supply chains (HSCs). HSCs need to be flexible to adapt to uncertainties in needs, infrastructure conditions, and behavior of other organizations. The concept of 'network flexibility' is, however, not clearly defined. The lack of an unanimous definition has led to a lack of consistent understanding and comparisons. This paper makes a threefold contribution: first, it defines the concept of network flexibility for HSC in the context of sudden onset disasters. Second, it proposes a framework to measure network flexibility in HSCs. Third, we apply our framework to the 2015 Nepal earthquake case and provide evidence-based insights regarding how humanitarian organizations can improve network flexibility in HSCs. Our analyses for Nepal case show that delivery, IT support, and fleet criteria have the most influence on flexibility. Also, the application of our framework on the downstream network of nine humanitarian organizations shows low levels of network flexibility in all but one. This finding explains why several disruptions happened in relief distributions during the Nepal response.

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“…Disruptions are caused by either natural (e.g., earthquake, floods, fire, and tsunamis) or man-made risks (e.g., terrorist attacks, accidents, and cyber-attacks) [16,17]. In addition to these disruptions, supply chains face interruptions caused by several sources with inherent uncertainties, such as demand fluctuations, supply capacity changes, lead time variability, and exchange rate volatility [18]. Combined with the characteristics of the evolution of supply chain disruptions, Sun and Ji [19] divided evolution into three stages, such as the prevention phase, control phase, and response stage.…”

Section: State Of the Artmentioning

confidence: 99%

Stability of the supply chain based on disruption classification

Shi

Hai

2017

Teh. vjesn.

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Original scientific paper Disruptions can destroy the stability of a supply chain resulting in losses in business, thus, determining the influence of various disruptions on a supply chain is significant. However, current studies have mainly concentrated on the stability of a supply chain under normal conditions, exploring the effects of inventory level on the system state and omitting the influences of disruptions. With the lack of analysis on the characteristics of disruption when modelling switched system, disruptions were classified and the lead time of each disruption level was determined. Dual switch rules were proposed considering the stock dynamics and lead time delays. A switched system model of the supply chain with multiple delays was then constructed. System stability under different level disruptions was investigated using simulation method. Results show that the stability scope of inventory adjustment coefficients decreases as transport lead time and distance coefficients increase. Disruption classification has different effects on the supply chain. Under high level disruption, the inventory level of manufacture significantly changes, and the supply chain system loses its stability and encounters difficulty in recovering its stable state. However, under general disruption, the supply chain system recovers to stability gradually. The present exploration enriches the switched modelling method of the supply chain and helps its chain members prevent and respond to disruptions effectively. Keywords: disruption; stability; supply chain; switched system Stabilnost opskrbnog lanca na temelju klasifikacije poremećajaIzvorni znanstveni članak Poremećaji mogu uništiti stabilnost opskrbnog lanca što rezultira poslovnim gubitkom, pa je određivanje utjecaja raznih poremećaja na opskrbni lanac značajno. Međutim, postojeće su se analize uglavnom usredotočile na stabilnost opskrbnog lanca u normalnim uvjetima, a istraživale su učinke razine zaliha na stanje sustava i izostavljale utjecaj poremećaja. S nedostatkom analize o karakteristikama poremećaja prilikom modeliranja prebacivog sustava, poremećaji su klasificirani i određeno je vrijeme provedbe svake poremećene razine. Predložena su dvojna pravila prebacivanja s obzirom na dinamiku zaliha i zastoja u isporuci. Izrađen je model prebacivog sustava opskrbnog lanca s višestrukim zastojima. Stabilnost sustava pod različitim razinama poremećaja ispitana je pomoću simulacijske metode. Rezultati pokazuju da se opseg stabilnosti koeficijenata prilagodbe zaliha smanjuje s porastom koeficijenta vremena prijevoza i udaljenosti. Klasifikacija poremećaja ima različite učinke na opskrbni lanac. Pod poremećajem na visokoj razini, razina zaliha proizvodnje značajno se mijenja, a sustav opskrbnog lanca gubi svoju stabilnost i susreće se s poteškoćama u vraćanju na stabilno stanje. Međutim, pod općim poremećajem, sustav opskrbnog lanca postupno se vraća u stabilnost. Sadašnje istraživanje obogaćuje pomaknutu metodu modeliranja opskrbnog lanca i pomaže članovima lanca da učinkovito...

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A tactical supply chain planning model with multiple flexibility options: an empirical evaluation

Cited by 41 publications

References 79 publications

Tactical supply chain planning under a carbon tax policy scheme: A case study

Tactical supply chain planning under a carbon tax policy scheme: A case study

Defining and measuring the network flexibility of humanitarian supply chains: insights from the 2015 Nepal earthquake

Stability of the supply chain based on disruption classification

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