Kumar, Prashant

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MIT	Global	Scale	Network	MIT SCALE RESEARCH REPORT The MIT Global Supply Chain and Logistics Excellence (SCALE) Network is an international alliance of leading-edge research and education centers, dedicated to the development and dissemination of global innovation in supply chain and logistics. The Global SCALE Network allows faculty, researchers, students, and affiliated companies from all six centers around the world to pool their expertise and collaborate on projects that will create supply chain and logistics innovations with global applications. This reprint is intended to communicate research results of innovative supply chain research completed by faculty, researchers, and students of the Global SCALE Network, thereby contributing to the greater public knowledge about supply chains.  For more information, contact MIT Global SCALE Network Postal Address:  Massachusetts Institute of Technology 77 Massachusetts Avenue, Cambridge, MA 02139 (USA) Location:  Building E40, Room 267 1 Amherst St.  Access:  Telephone: +1 617-253-5320 Fax: +1 617-253-4560 Email: scale@mit.edu Website: scale.mit.edu Research Report: MISI-2014-15Cold Chain Evaluation Framework in a Fragmented Market Prashant KumarMIT	Global	Scale	Network	For full thesis version please contact: Professor Shardul Phadnis Director of Research MISI No. 2A, Persiaran Tebar Layar, Seksyen U8, Bukit Jelutong, Shah Alam, 40150 Selangor, Malaysia. Phone: +6 03 7841 4845 Email: sphadnis@misi.edu.my Cold Chain Evaluation Framework in a Fragmented Market By Prashant Kumar Thesis Advisor: Dr. Asad Ata Summary: In a fragmented cold chain industry in developing countries, how should a shipper protect integrity of its products and brands while supporting multiple shipment types, and supply & demand surges? The objective of the thesis is to identify the dynamics behind fragmented cold chain industry, and conceptualize and build a framework to evaluate Cold Chain Service Providers (CCSP) in such a fragmented industry. The framework facilitates evaluation of CCSP in various dimensions of Strategic, Tactical and Operational fit with an organization and suggests a systematic approach to monitor performance of CCSP using key metrics and parameters. Master of Science in Supply Chain Management from MIT SCALE Network Malaysia, 2014  Bachelor of Technology in Mechanical Engineering from National Institute of Technology Calicut Upon graduation, he joined Starbucks in the Supply Chain Network Optimization in Hong KongIntroduction The extent of food spoilage across the food supply chain is poses a serious challenge for all stakeholders (including government and consumers) of Food and beverage (F&B) industry. Refrigeration & air conditioning (Cold Chain Industry) is steadily becoming a part of everyday life in F&B industry and is a key enabler to protect the integrity of food products. In general, food products may pass through 17 or more handlers during distribution, enduring delays and substandard intermediate storage. Without a proper tracking system, cold chain breach might go unobserved and even improper temperature control can spoil a product. To address challenges, the use of temperature sensitive products and Cold Chain Service Providers (CCSP) has become an integral part of the success of F&B industry.  However, highly fragmented industry in developing countries as compared with that mostly vertically integrated cold chain in developed countries makes the CCSP evaluation process a challenge. It is critical to protect integrity of products and brands while supporting multiple shipment types, and supply & demand surges. Therefore this paper intends to conceptualize and build a framework to identify, assess and evaluate Cold Chain Service Providers (CCSP) in a fragmented industry. Approach The thesis proposes an evaluation framework for CCSP based on quantitative and qualitative criteria is proposed in various dimensions of cultural, operational and strategic fit. A combination of Literature Review, Industry Analysis and Value Chain Mapping from food and beverage industry is used to develop, refine and categorize parameters. Apply Analytic Hierarchy Process (AHP) technique is used to identify local and global weight of parameters and give recommendation for leveraging model findings (refer Figure-1). Build Framework:  The final set of parameters described in last section are further segmented into three main categories, namely Operational, Tactical and Strategic fit, called Level-1 parameters. However, evaluation of CCSP cannot be done at such a high level and therefore it’s important to break each of Level-1 dimensions into further lower level elements from Level-2 to Level-4. The lowest level is the Level-4 and is the easily measurable elements (refer Figure-2).      Model Findings  Strategic and Tactical fit together comprise 55% of total weight, suggesting that sufficient focus on STRATEGIC & TACTICAL fit is required evaluating CCSP in fragmented industry (Figure-3)  11 parameters account for 75% of the total weight of Operational, 3 parameters for Tactical and Strategic Fit and 12 Level-4 parameters comprise 75% of the total weight  • IT capability and Temperature & Service Consistency are more important than pricing parameters • Pricing parameters comprise 12% weight. However, Non-price levers are much more important in fragmented market   Recommendation  In a fragmented market, evaluate CCSP not just on the basis on Operational fit but also on Tactical and Strategic fit assessment   Use of different levels of evaluation framework for evaluating CCSP   Significant opportunity could be find in the areas of Cost Management, and Network Optimization as Shipper give higher weightage to price parameters, extent of express services and omni-channel needs  Build long-term relationship with some of the CCSP and take them along while growing in emerging economies (Figure-4)  Cited Sources:  Cooper, O., Tadikamalla, P. & Shang, J., 2012. Selection of a Third-Party Logistics Provider : Capturing the Interaction and Infl uence of Performance Metrics with the ANP   Saaty, T.L., 2013. The Modern Science of Multicriteria Decision Making and Its Practical Applications : The AHP / ANP Approach The Modern Science of Multicriteria Decision  

Cold Chain Evaluation Framework in a Fragmented Market

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Cold Chain Evaluation Framework in a Fragmented Market

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