An Overview of Warehouse Operations for Cold Chain

Author(s):  
Cansu Yurtseven ◽  
Banu Yetkin Ekren ◽  
Ayhan Ozgur Toy

Supply chain processes involved in this like sourcing, transportation, warehousing, inventory management, replenishment, cold chain management. Warehousing is the segment of enterprise logistic functions responsible for the storage space and managing of the inventories beginning with suppliers receipt and ending with the consumption point. Warehouse operations cover a number of significant areas, from the receiving, organization, fulfillment, and supply processes and areas including Receiving of goods, integrating and maintaining tracking software. Goal of warehouse operations is to satisfy customer’s desires and necessities whereas utilizing house, equipment, and labor effectively. The current trends and pressures on provide chain and logistics-forever increasing client examine levels, inventory optimization, time solidity and cost minimization have predictably changed the structure of supply chains and the location site and working of warehouses within the supply chains network .Supply Chain Management encompasses scheduling and organization of all activities involved in sourcing, procurement, conversion, and logistics managing activities. The business contains each variety of warehouses and the trendy multi-purpose supply centers furthermore because the ancient storage facilities called godowns.


2019 ◽  
Vol 23 (1) ◽  
pp. 202-209
Author(s):  
Padmavathi U ◽  
Narendran Rajagopalan
Keyword(s):  

2020 ◽  
Vol 27 (2) ◽  
pp. 89-104 ◽  
Author(s):  
Muhammad Sarwar Khan ◽  
Faiz Ahmad Joyia ◽  
Ghulam Mustafa

: The cost-effective production of high-quality and biologically active recombinant molecules especially proteins is extremely desirable. Seed-based recombinant protein production platforms are considered as superior choice owing to lack of human/animal pathogenic organisms, lack of cold chain requirements for transportation and long-term storage, easy scalability and development of edible biopharmaceuticals in plants with objective to be used in purified or partially processed form is desirable. This review article summarizes the exceptional features of seed-based biopharming and highlights the needs of exploiting it for commercial purposes. Plant seeds offer a perfect production platform for high-value molecules of industrial as well as therapeutic nature owing to lower water contents, high protein storage capacity, weak protease activity and long-term storage ability at ambient temperature. Exploiting extraordinarily high protein accumulation potential, vaccine antigens, antibodies and other therapeutic proteins can be stored without effecting their stability and functionality up to years in seeds. Moreover, ability of direct oral consumption and post-harvest stabilizing effect of seeds offer unique feature of oral delivery of pharmaceutical proteins and vaccine antigens for immunization and disease treatment through mucosal as well as oral route.


2020 ◽  
Vol 16 (8) ◽  
pp. 1183-1195
Author(s):  
Prasad Rasane ◽  
Nitya Sharma ◽  
Sana Fatma ◽  
Sawinder Kaur ◽  
Alok Jha ◽  
...  

Background: Background: Milk forms an integral part of the human diet from the nutritional point of view. Besides nutrition, it has also unique functional properties which are harnessed by the industry for numerous uses. Being highly perishable specific techniques are required to minimize the losses during processing and adequate preservation of this precious commodity. In the U.S. and many other parts of the world, the traditional pasteurization of milk requires a minimum heat treatment of 72ºC for 15 seconds with subsequent refrigeration. However, the advent of Ultra High Temperature (UHT) treatment of milk has added a new dimension to the marketing of liquid milk in urban as well as remote areas without the requirement of cold chain management. The distinctive feature of UHT processed milk is that it is commercially-sterile-not pasteurized and so has long shelf life at room temperature. UHT milk, also known as long-life milk, is emerging as an attractive commercial alternative offering a hygienic product of unmatched quality, which can be bought anywhere, at any time and in any quantity. The present review will discuss numerous aspects of UHT processing of milk with reference to historical significance, fundamental principle, various systems used and prerequisites, type of exchangers used, fouling and other defects in system, chemical and microbiological effect of the treatment, its effect on nutritional components, organoleptic quality of milk and the advantage and involved challenges of the process. Conclusion: Raw milk is easily contaminated with pathogens and microbes and hence its consumption of raw milk is associated with certain ill health effects. Therefore, heating milk before consumption is strongly suggested. Thus, UHT treatment of milk is done to ensure microbial safety and also to extend the shelf life of this highly perishable commodity. Heating milk at such a high temperature is often associated with the change of organoleptic properties like change in flavor or cooked flavor, rancidity due to microbes or acid flavor, etc. But UHT treatment does not substantially decrease the nutritional value or any other benefits of milk.


Author(s):  
Sadaf Qazi ◽  
Muhammad Usman

Background: Immunization is a significant public health intervention to reduce child mortality and morbidity. However, its coverage, in spite of free accessibility, is still very low in developing countries. One of the primary reasons for this low coverage is the lack of analysis and proper utilization of immunization data at various healthcare facilities. Purpose: In this paper, the existing machine learning based data analytics techniques have been reviewed critically to highlight the gaps where this high potential data could be exploited in a meaningful manner. Results: It has been revealed from our review, that the existing approaches use data analytics techniques without considering the complete complexity of Expanded Program on Immunization which includes the maintenance of cold chain systems, proper distribution of vaccine and quality of data captured at various healthcare facilities. Moreover, in developing countries, there is no centralized data repository where all data related to immunization is being gathered to perform analytics at various levels of granularities. Conclusion: We believe that the existing non-centralized immunization data with the right set of machine learning and Artificial Intelligence based techniques will not only improve the vaccination coverage but will also help in predicting the future trends and patterns of its coverage at different geographical locations.


Author(s):  
Harkiran Kaur ◽  
Kawaljeet Singh ◽  
Tejinder Kaur

Background: Numerous E – Migrants databases assist the migrants to locate their peers in various countries; hence contributing largely in communication of migrants, staying overseas. Presently, these traditional E – Migrants databases face the issues of non – scalability, difficult search mechanisms and burdensome information update routines. Furthermore, analysis of migrants’ profiles in these databases has remained unhandled till date and hence do not generate any knowledge. Objective: To design and develop an efficient and multidimensional knowledge discovery framework for E - Migrants databases. Method: In the proposed technique, results of complex calculations related to most probable On-Line Analytical Processing operations required by end users, are stored in the form of Decision Trees, at the pre- processing stage of data analysis. While browsing the Cube, these pre-computed results are called; thus offering Dynamic Cubing feature to end users at runtime. This data-tuning step reduces the query processing time and increases efficiency of required data warehouse operations. Results: Experiments conducted with Data Warehouse of around 1000 migrants’ profiles confirm the knowledge discovery power of this proposal. Using the proposed methodology, authors have designed a framework efficient enough to incorporate the amendments made in the E – Migrants Data Warehouse systems on regular intervals, which was totally missing in the traditional E – Migrants databases. Conclusion: The proposed methodology facilitate migrants to generate dynamic knowledge and visualize it in the form of dynamic cubes. Applying Business Intelligence mechanisms, blending it with tuned OLAP operations, the authors have managed to transform traditional datasets into intelligent migrants Data Warehouse.


Author(s):  
Zhaohui Wu ◽  
Madeleine Elinor Pullman

Food supply chain management is becoming a critical management and public policy agenda. Climate change, growing demand, and shifting patterns of food production, delivery, and consumption have elicited a series of new challenges, such as food security, safety, and system resiliency. This chapter first introduces the typical players in a food supply chain and examines the global food system characterized by consolidation and industrialization. It then discusses some critical topics of the sustainable food supply chain that aim to address these challenges. These topics include traceability, transparency, certification and standards, and alternatives to industrialized food systems, including cooperatives, community-supported agriculture, and roles of small and medium-sized growers in regenerative agriculture. The chapter ends with a discussion of several important emerging logistics management topics, including last-mile delivery, new technology, and cold chain management.


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