Performance measurement of a dairy supply chain: A balance scorecard perspective

Prakash, Gyan; Pant, Ravinder

doi:10.1109/ieem.2013.6962402

Cited by 12 publications

(16 citation statements)

References 10 publications

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“…Research about the important drivers or indicators or factors and the measurement tool for assessing the performance of the dairy supply chain can be found in Prakash and Pant (2013), Kumar (2014), Kumar and Mohan (2014), Okano et al (2014), Mor et al (2017, 2018), Susanty et al (2018), Susanty et al (2019), Dizyee et al (2019) and Bórawski et al (2020).…”

Section: Literature Reviewmentioning

confidence: 99%

Exploring the best policy scenario plan for the dairy supply chain: a DEMATEL approach

Susanty

Puspitasari

Prastawa

et al. 2020

JM2

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Purpose This research primarily aims to find and analyse the interaction among success factors for improving the performance of Indonesia’s dairy milk supply chain. Further, this research aims to formulate the right policies for improving the performance of the chain based on the success factor that belongs to cause groups. Design/methodology/approach The paper analyses 10 success factors for improving the performance of the Indonesian dairy supply chain with the decision-making trial and evaluation laboratory (DEMATEL) method and analyses the Delphi method to formulate the right policies for improving performance. Findings There are four important influencing factors that directly impact the overall system, i.e. the number of dairy cattle import, national milk demand, the total number of dairy farmers and the number of dairy cattle ownership or herd size. Several alternative policies have been designed by several experts according to the influencing factors, i.e. the government assists in the procurement of imported cattle, provides financial assistance to farmers in the form of low-interest financing, improves the partnership system between farmers and dairy cooperatives, provides a reward system for the farmers and increases the level of formality of contract between the farmers and cooperatives. Research limitations/implications Interrelationships of each success factor and the most important influencing success factors could not be generally determined because it depends on the point of view of the experts. Future research can apply the success factors proposed by this research to the different dairy milk supply chain. Then, this research used only nine experts for formulating alternative policies. Future research may repeat this method using multiple experts to justify the validity of the research. Moreover, this research only explored 21 success factors of the increase in the performance of the Indonesian dairy supply chain. Future research should consider not only the supply side and number of dairy cattle but also several success factors from the causal relationship diagram in the broader dairy milk supply chain. Practical implications This research provides essential insights for policymakers, as they have to understand and evaluate the success factors before formulating several alternative policies. Social implications The research has revealed that the right alternative policies can be designed, as the causal factor has been known. Originality/value This research contributes to applying a combination of causal relationship diagram of System Dynamic and DEMATEL method as a qualitative and quantitative method in one integrated way through performance dairy supply chain analysis. As a result, this research draws a policy for the dairy supply chain referring to the success factor as a cause for the low performance of the Indonesian dairy supply chain.

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Section: Literature Reviewmentioning

confidence: 99%

Exploring the best policy scenario plan for the dairy supply chain: a DEMATEL approach

Susanty

Puspitasari

Prastawa

et al. 2020

JM2

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“…Kumar [34] described a conceptual model of dairy supply chains, and determined the importance of a novel conceptual model for supply chain performance measurement. Prakash and Pant [35] stated that the balance score card (BSC) approach can be used to measure the safety performance of the dairy supply chain.…”

Section: Literature Review 21 Sffs In Dairy Supply Chainmentioning

confidence: 99%

Safety Failure Factors Affecting Dairy Supply Chain: Insights from a Developing Economy

Hassan

Ahmad

et al. 2021

Sustainability

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Safety issues in the dairy industry have attracted greater attention in recent years, and the public have showed an intensive concern regarding safety failure in the dairy supply chain. Since the dairy industry is closely associated with humans and fulfills basic necessities, it is necessary to explore safety failure factors (SFFs) affecting the supply chain of the dairy industry. This paper aims to explore the SFFs of the dairy supply chain using an interpretive structural modeling technique (ISM) and Matrice d’Impacts Croises Multiplication Appliques a un Classement (MICMAC) analysis in a Pakistani context. A total of twenty-five failure factors have been identified through literature reviews and the opinion of an expert team, including managerial and technical experts from the dairy industry, as well as academics. Interpretive structural modeling (ISM) is applied to analyze the mutual interaction among barriers and to develop a structural model. The MICMAC technique is used to identify the importance of SFFs based on their driving and dependence power. The results of this study will help decision-makers in the dairy industry to plan their supply chain activities more effectively and efficiently by managing the identified barriers.

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“…The importance of various balanced scorecard (BSC) perspectives in India are different from developed countries because of the availability of setup, inconstant milk production, poor breed of cattle, deprived cold chain, etc. [21].…”

Section: Literature Reviewmentioning

confidence: 99%

Integration of SWOT-AHP Approach for Measuring the Critical Factors of Dairy Supply Chain

2019

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Dairy farming is a subsidiary profession of agriculture in India where dairy cooperatives are an important part of rural development. The current study explores the critical factors in the dairy supply chain, and provides an initial decision framework for its implications. The necessary data were collected from dairy producer members including dairy farmers, executives, and key informants of processing units, to summarize the strengths, weaknesses, opportunities, threats (SWOT) of the milk processing system in India. This includes identifying the objectives of the dairy industry, along with the internal and external critical factors (CFs). SWOT exploration does not offer any investigative basis for evaluating the priorities of CFs, therefore the analytic hierarchy process is applied to define the priorities of identified CFs. The CFs have also been ordered according to relative importance. The findings of this study depict that the SWOT based methodology offers vital sensitivity in assessing the supply chain strategies for the dairy industry.

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Performance measurement of a dairy supply chain: A balance scorecard perspective

Cited by 12 publications

References 10 publications

Exploring the best policy scenario plan for the dairy supply chain: a DEMATEL approach

Exploring the best policy scenario plan for the dairy supply chain: a DEMATEL approach

Safety Failure Factors Affecting Dairy Supply Chain: Insights from a Developing Economy

Integration of SWOT-AHP Approach for Measuring the Critical Factors of Dairy Supply Chain

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