A key performance measures for evaluating cold supply chain performance in farm industry

Shashi, Shashi; Singh, Rajwinder

doi:10.5267/j.msl.2015.6.005

Cited by 5 publications

(2 citation statements)

References 55 publications

(97 reference statements)

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“…Measuring the supply chain performance can facilitate greater understanding of the supply chain and improve its overall performance (Charan et al, 2008). Designing an effective supply chain performance, which can evaluate the performance of the whole supply chain, is important due to a number of reasons namely increase in middleman income, customer value orientation, global competition, stakeholder needs, technology and international rules and regulations (Shashi and Singh, 2015). Besides, supply chain consists of different levels, namely supplier, manufacturer, distributor and consumer, and it is a network of companies influencing each other and affecting one another's performance (Bigliardi and Bottani, 2010).…”

Section: Introductionmentioning

confidence: 99%

Performance analysis and strategic planning of dairy supply chain in Indonesia

Susanty

Bakhtiar

Puspitasari

et al. 2018

IJPPM

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Purpose The purpose of this paper is to measure and evaluate the performance of the relationships between farmers, dairy cooperatives and industrial milk processors. Design/methodology/approach Data used in this study were primary data collected through personal interviews and closed questionnaires with 1–5 Likert scale. The sample consisted of the representative of the management of 12 dairy cooperatives located in Central Java Province, representative of the management of 12 dairy cooperatives located in West Java Province and some farmers who are members of those dairy cooperatives. This study uses balanced supply chain management scorecard for measuring the performance of dairy supply chain, importance-performance analysis (IPA) for identifying the indicators that are most in need of improvement, and strength, weakness, opportunity and threat (SWOT) analysis for formulating strategic planning. Findings The results of balanced supply chain management scorecard combined with IPA analysis showed that the performance relationship between farmers, dairy cooperatives and industrial milk processors in West Java Province is slightly better than that in Central Java Province. It can be seen from the average value of the score of indicator, the category of each indicator and the category of the performance index of each relationship. The major weakness of the relationship between dairy farmers, cooperatives and industrial milk processors in Central Java Province lies in the different perspective (no perspective is dominant), whereas that in West Java Province is dominated by the perspective of the customer. On the other hand, the major strength of the relationship in Central Java Province is dominated by the perspective of the customer, whereas that in West Java Province is dominated by the perspective of learning and growth. Research limitations/implications The limitation of this study is related to the number of the dairy cooperatives as the sample and the type of scale used to measure the performance of the relationships between farmers, dairy cooperatives and individual milk processors. So, the future research may replicate this study by surveying all the dairy cooperatives in Central Java and West Java Provinces. It may also enhance the measurement of the performance of the relationships by using a direct measure of each indicator in each perspective, rather than recording the management of dairy cooperative perceptions. Practical implications This research provides essential insights for the management of dairy cooperative in the context of strategic planning development. The research reveals that there is a different strategic planning for improving the performance of the relationship between dairy farmers, cooperatives and industrial milk processors in each province. It depends on the major weakness and strength of the relationships, and also, opportunity and threat faced by the dairy industry. One important thing, the management of dairy cooperative in both provinces should have strategic planning related to the use of machine milking by farmers to improve the milk quality. Social implications The research revealed that strategic planning could be built after analyzing the internal and external conditions carefully. It may encourage more dairy cooperatives to measure and analyze the internal and external conditions at the bottom of strategic planning of their business. Originality/value Although this research only used the balanced supply chain management scorecard and IPA analysis for measuring the performance, and SWOT analysis in formulating the strategic planning for improving the current performance, it will make a difference. First, instead of measuring the performance of dairy cooperatives, this research measured the performance of the relationships between dairy farmers, cooperatives and industrial milk processors. This way, the dairy cooperatives were only sources of data collection. Second, the investigation was quite complicated since the objects of the research were represented by the relationships between farmers, dairy cooperatives and industrial milk processors in Central Java Province and West Java Province.

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Section: Introductionmentioning

confidence: 99%

Performance analysis and strategic planning of dairy supply chain in Indonesia

Susanty

Bakhtiar

Puspitasari

et al. 2018

IJPPM

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“…Various researchers and practitioners have performed many studies to evaluate the performance in different CSC traits. Shashi and Singh (2015) developed a structural framework to analyze the CSC performance for a farm industry. To explore the performance factors of the CSC, they performed a literature review analytics and survey-based approach.…”

Section: Literature Reviewmentioning

confidence: 99%

Depiction of possible solutions to improve the cold supply chain performance system

Kumar

Tyagi

Sachdeva

2021

JAMR

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PurposeA poor performance of the cold supply chain (CSC) may increase the loss of quality and potency of perishables and temperature-sensitive products that deteriorate the financial and environmental aspects of the same. The purpose of the current research work is to identify the critical performance factors (criteria) and their co-factors (sub-criteria) that are responsible for the performance measurement of CSC and suggest the best possible solutions (alternatives) to improve the same.Design/methodology/approachTo achieve the objective of the research, a hierarchical model has been developed and analyzed using Analytic Hierarchy Process (AHP)-Fuzzy TOPSIS as a hybrid approach to obtain the severity weights of the identified criteria and prioritization toward their relative importance for the best possible alternatives.FindingsAnalysis reveals that the criteria “energy consumption” comes out to be the most critical criteria, and alternative “application of passive cold devices” is the most effective solution for improving the performance of CSC. Higher energy consumption leads to a higher rate of greenhouse gas (GHG) emissions increasing the global warming phenomenon, high operational cost and degradation of natural energy resources. The Application of Passive Cold Devices (PCDs) utilizes solar energy to operate the refrigeration units reducing the energy consumption, environmental and operating cost of CSC.Research limitations/implicationsThe research work provides several insights into the critical issues related to the CSC and suggests significant findings that enable the management and decision-makers to adopt these practices for performance evaluation and improvement of the same. The key findings of the work, such as “application of passive cold devices” and “application of IoT in cold chain logistics”, facilitate an improved platform to improve the CSC performance and proposed several directions that will enhance the merit of future research.Originality/valueThe presented study consolidates the various perspectives associated with CSC performance, explores the most critical criteria and proposes the best suitable cold chain practices for organizational growth. The work also provides an analytical analysis with the essence of practicalities and sensitivity analysis to support the robustness of the results. By enriching the literature and quantitative analysis of the new proposed model, this paper forms vast managerial and research implications in the field of CSC.

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