Supply Uncertainty in Food Processing Supply Chain: Sources and Coping Strategies

Chaudhuri, Atanu; Dukovska‐Popovska, Iskra; Hvolby, Hans‐Henrik

doi:10.1007/978-3-662-44733-8_23

Cited by 4 publications

(4 citation statements)

References 34 publications

(71 reference statements)

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“…Uncertainty propagates throughout the network and leads to inefficient processing and non-value adding activities (Patil et al 2012). Throughout the supply chain, agents are faced with different sources of uncertainty which may be exogenous, endogenous, or both (Chaudhuri et al 2014).…”

Section: Uncertainty In Supply Chainsmentioning

confidence: 99%

“…Literature stated that it is important to consider uncertainties to achieve operational excellence and smooth operations in every link of the supply chain since uncertainty cannot be avoided (Wang et al 2014). Uncertainty factors in the supply chain involve supply uncertainty (Davis 1993;Towill et al 2002;van der Vorst and Beulens 2002;Sawhney 2006;Thongrattana and Jie 2009;Patil et al 2012;Chaudhuri et al 2014), demand uncertainty (Lee et al 1997;Lee, 2002; van der Vorst and Beulens 2002;Sun et al, 2009;Thongrattana and Jie 2009;Patil et al 2012), process uncertainty (Ettile and Reza 1992;Miller 1992;Davis 1993;Koh et al 2002;Towill et al 2002;van der Vorst and Beulens 2002;Sawhney 2006;Thongrattana and Jie 2009;Patil et al 2012), control and planning uncertainty (Wilding 1998;Geary et al 2002;Towill et al 2002;van der Vorst and Beulens 2002;Childerhouse and Towill 2004;Prater 2005;Thongrattana and Jie 2009), competitor uncertainty (Ettile and Reza 1992;Miller 1992;Davis 1993;van der Vorst and Beulens 2002;Bhatnagar and Sohal 2005;Paulraj and Chen 2007;Thongrattana and Jie 2009), government uncertainty (Miller 1992;van der Vorst and Beulens 2002;…”

Section: Uncertainty In Supply Chainsmentioning

confidence: 99%

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The impact of environmental uncertainty on the performance of the rice supply chain in the Ayeyarwaddy Region, Myanmar

Linn

Maenhout

2019

Agric Econ

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In this paper, we study the relationship between environmental uncertainty and performance in the rice supply chain in the Ayeyarwaddy Region, Myanmar. Efficiency is one of the important performance indicators in both supply chain and agribusiness. In this regard, the objectives of the study are to identify the different sources of uncertainty perceived by the different actors in the supply chain, to measure the rice supply chain efficiency, and to study the impact of the environmental uncertainty on the supply chain efficiency. The data of 215 respondents is collected from the Ayeyarwaddy Region by using a purposive and stratified random sampling method, and we analyze this data via descriptive statistics, an exploratory factor analysis, data envelopment analysis (DEA), and Tobit regression analysis. The scores for the technical, pure, and scale efficiency show a very low performance of the rice supply chain in the Ayeyarwaddy Region resulting from the fact that most of the rice businesses are too small and need to expand their operating size. We found that this global rice supply chain performance is significantly impacted by the planning and control uncertainty and the climate uncertainty. Therefore, mitigation initiatives must be developed such as financial insurance mechanisms and extension services should be widespread. Both aim to improve the impact of the climate adverse conditions and to increase the efficiency of resource utilization in the supply chain. Moreover, the actors should organize themselves in cooperatives such that the scale of operations can be increased and information is captured and shared between different parties in the supply chain. This is crucial to operational control and planning because a higher quality of information input will increase the quality of managerial decision making.

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Section: Uncertainty In Supply Chainsmentioning

confidence: 99%

Section: Uncertainty In Supply Chainsmentioning

confidence: 99%

The impact of environmental uncertainty on the performance of the rice supply chain in the Ayeyarwaddy Region, Myanmar

Linn

Maenhout

2019

Agric Econ

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“…Research on planning and control of supply chain operations under the conditions of supply uncertainty is therefore still needed to identify and analyse effective coping mechanisms (Chaudhuri et al, 2014).…”

Section: 3mentioning

confidence: 99%

Cascading Norwegian co-streams for bioeconomic transition

Egelyng

Romsdal

Hansen

et al. 2018

Journal of Cleaner Production

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Highlights 1 A bioeconomic transition to minimize food loss and waste calls for institutional and technical innovation. 2 Cascading options to avoid food losses occurring in chicken, fish, and fruits & vegetable industry, explored. 3 Contribution and novelty is the transdisciplinary investigation of concrete bioeconomic cascading and valorisation options in the case of three value chains in Norway. 4 A transdisciplinary approach and involvement of industrial actors collaborating with researchers is required to address societal challenges facing the bioeconomy.

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“…Meanwhile, Katsikeas et al [58] studied the impact of alliance types between supplier, manufacturer, and retailer, and reported its impact on their profits. Chaudhuri et al [59] claimed that distributors and retailers can only attain higher performance if they experienced higher supplier's performance in the context of price, delivery flexibility, efficiency, reliability, services, etc. Likewise, better coordination between buyer and supplier minimizes the costs and promotes the better plan formulation [48].…”

Section: Supplier's Performancementioning

confidence: 99%

Evaluating Partnerships in Sustainability-Oriented Food Supply Chain: A Five-Stage Performance Measurement Model

et al. 2018

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This study aims to investigate how overall food supply chain performance (FSCP) often depends on the performance of partners in a sustainable and energy-efficient supply chain. Initially, the study classifies the FSCP and further examines the partner relationships in sustainability-oriented food supply chain (FSC). To do so, the study proposes and formally tests a five-stage performance measurement model. The present research mainly focuses on the Indian food industry. Results highlight significant direct and indirect positive performance relationships between the different FSC stages. The structural equation modeling analysis highlights that producer’s performance positively impacts supplier’s performance, processor’s performance, and distributor’s performance. Moreover, supplier’s performance positively impacts processor’s performance, distributor’s performance, and retailer’s performance, and also processor’s performance positively impacts both distributor’s performance and retailer’s performance. Lastly, distributor’s performance positively impacts retailer’s performance. The study suggests that regular performance improvement at each FSC stage would improve the performance of the next stage players. Most importantly, the direct impact of each partner’s performance is comparatively high on its immediate next partner’s performance. Furthermore, this study will assist practitioners to understand various FSCP measurement issues and make significant improvements in their sustainable and energy-efficient supply chain practices.

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Supply Uncertainty in Food Processing Supply Chain: Sources and Coping Strategies

Cited by 4 publications

References 34 publications

The impact of environmental uncertainty on the performance of the rice supply chain in the Ayeyarwaddy Region, Myanmar

The impact of environmental uncertainty on the performance of the rice supply chain in the Ayeyarwaddy Region, Myanmar

Cascading Norwegian co-streams for bioeconomic transition

Evaluating Partnerships in Sustainability-Oriented Food Supply Chain: A Five-Stage Performance Measurement Model

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