scholarly journals Just in Time Delivery System in Perishable Goods

2021 ◽  
pp. 384-390
Author(s):  
Aditya Singh Chhonker ◽  
Dr. Shashi Kant Rai
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Delivery System ◽  
Research Paper ◽  
Just In Time ◽  
Sunday Morning ◽  
Perishable Goods ◽  
Bright Green ◽  
Fresh Products

You're preparing brunch on Sunday morning. The store avocado looks ready and ready to feed. So it's all brown mush instead of bright green skin. You throw it out and try an avocado-free dinner. Overall, 1⁄3 of all foodstuffs generated are lost. But since supply chains and traditional stores encourage fresh products to stay for days on shelves, is it surprising that food comes in the trash? We use a supply chain just-in-time. Which reduces waste and ensures freshness. In this research paper we are going to study the just-in-time delivery system in perishable goods.

Control of Perishable Goods in Cold Logistic Chains by Bionanosensors

2016 ◽  
pp. 376-402 ◽  
Author(s):  
David Bogataj ◽  
Damjana Drobne
Keyword(s):  
Supply Chain ◽  
Feedback Control ◽  
Supply Chains ◽  
Industrial Engineering ◽  
Fruit And Vegetable ◽  
Loss Prevention ◽  
Post Harvest ◽  
Perishable Goods ◽  
Temperature And Humidity ◽  
Post Harvest Loss

Nanotechnology can contribute to food security in supply chains of agri production-consumption systems. The unique properties of nanoparticles have stimulated the increasing interest in their application as biosensing. Biosensing devices are designed for the biological recognition of events and signal transduction. Many types of nanoparticles can be used as biosensors, but gold nanoparticles have sparked most interest. In the work presented here, we will address the problem of fruit and vegetable decay and rotting during transportation and storage, which could be easily generalized also onto post-harvest loss prevention in general. During the process of rotting, different compounds, including different gasses, are released into the environment. The application of sensitive bionanosensors in the storage/transport containers can detect any changes due to fruit and vegetable decay and transduce the signal. The goal of this is to reduce the logistics cost for this items. Therefore, our approach requires a multidisciplinary and an interdisciplinary approach in science and technology. The cold supply chain is namely a science, a technology and a process which combines applied bio-nanotechnology, innovations in the industrial engineering of cooling processes including sensors for temperature and humidity measurements, transportation, and applied mathematics. It is a science, since it requires the understanding of chemical and biological processes linked to perishability and the systems theory which enables the developing of a theoretical framework for the control of systems with perturbed time-lags. Secondly, it is a technology developed in engineering which relies on the physical means to assure appropriate temperature conditions along the CSC and, thirdly, it is also a process, since a series of tasks must be performed to prepare, store, and transport the cargo as well as monitor the temperature and humidity of sensitive cargo and give proper feedback control, as it will be outlined in this chapter. Therefore, we shall discuss how to break the silos of separated knowledge to build an interdisciplinary and multidisciplinary science of post-harvest loss prevention. Considering the sensors as floating activity cells, modelled as floating nodes, in a graph of such a system, an extended Material Requirement Planning (MRP) theory will be described which will make it possible to determine the optimal feedback control in post-harvest loss prevention, based on bionanosensors. Therefore, we present also a model how to use nanotechnology from the packaging facility to the final retail. Any changes in time, distance, humidity or temperature in the chain could cause the Net Present Value (NPV) of the activities and their added value in the supply chain to be perturbed, as presented in the subchapter. In this chapter we give the answers to the questions, how to measure the effects of some perturbations in a supply chain on the stability of perishable agricultural goods in such systems and how nanotechnology can contribute with the appropriate packaging and control which preserves the required level of quality and quantity of the product at the final delivery. The presented model will not include multicriteria optimization but will stay at the NPV approach. But the annuity stream achieved by improved sensing and feedback control could be easily combined with environmental and medical/health criteria. An interdisciplinary perspective of industrial engineering and management demonstrates how the development of creative ideas born in separate research fields can be liaised into an innovative design of smart control devices and their installation in trucks and warehouses. These innovative technologies could contribute to an increase in the NPV of activities in the supply chains of perishable goods in general.

scholarly journals Supply chain performance attributes for the fast moving consumer goods industry

2011 ◽  
Vol 5 (1) ◽  
Author(s):  
Madhu Bala ◽  
Dinesh Kumar
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Consumer Goods ◽  
Fast Moving ◽  
Research Paper ◽  
Supply Chain Performance ◽  
Product Categories ◽  
Fast Moving Consumer Goods ◽  
Operational Models ◽  
The One

This research paper identifies the supply chain performance attributes that are relevant to the Fast Moving Consumer Goods (FMCG) industry. The FMCG supply chains are analysed from the perspective of processes, components and typology. The typical issues faced by the FMCG supply chains are also explored. Three supply chain operational models are compared and identify SCOR as the one best suited for the FMCG industry. The survey, conducted with the respondents from four research cases across two product categories, demonstrates the acceptance and the usage of the performance attributes for the FMCG supply chains. The results also include the analysis of the typology of the research cases across two product categories.

scholarly journals G-NETWORKS AND THE OPTIMIZATION OF SUPPLY CHAINS

2019 ◽  
pp. 1-13
Author(s):  
Yi Wang
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Optimization Methods ◽  
Optimal Order ◽  
Perishable Products ◽  
Purchase Price ◽  
Order Allocation ◽  
Perishable Items ◽  
The World ◽  
Fresh Products

Supply chains are fundamental to the economy of the world and many supply chains focus on perishable items, such as food, or even clothing that is subject to a limited shelf life due to fashion and seasonable effects. G-networks have not been previously applied to this important area. Thus in this paper, we apply G-networks to supply chain systems and investigate an optimal order allocation problem for a N-node supply chain with perishable products that share the same order source of fresh products. The objective is to find an optimal order allocation strategy to minimize the purchase price per object from the perspective of the customers. An analytical solution based on G-networks with batch removal, together with optimization methods are shown to produce the desired results. The results are illustrated by a numerical example with realistic parameters.

Supply Chain Management and Strategy Implementation for Perishable Goods

2016 ◽  
pp. 152-169
Author(s):  
Anju Bharti
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Supply Chains ◽  
Customer Value ◽  
Significant Proportion ◽  
Sustainable Competitive Advantage ◽  
Chain Management ◽  
Extra Effort ◽  
Perishable Goods ◽  
Temperature Controlled

Supply chain management is the active management of supply chain activities to maximize customer value and achieve a sustainable competitive advantage for a longer time. The supply chain firms put an extra effort to develop and run in the most effective & efficient ways possible. There are issues of concern that need attention, like huge losses in perishables (food) because of infrastructural deficiencies. The demand for food remains highly unfulfilled in most of the country and outside in spite of high production of food. This is because of highly ineffective, inadequate and very weak supply chains for food that require temperature controlled conditions to retain quality and safety of food and curb the decay process. An effective food retail supply chain thus becomes vital (Bourkakis and Weightman, 2004).Supply chains for perishable and time-sensitive products, pose specific and unique challenges. The temperature controlled supply chains or cold chains are a significant proportion of the retail food market which is still in the nascent stage.

Supply Chain Management and Strategy Implementation for Perishable Goods

2020 ◽  
pp. 284-302
Author(s):  
Anju Bharti
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Supply Chains ◽  
Customer Value ◽  
Significant Proportion ◽  
Sustainable Competitive Advantage ◽  
Chain Management ◽  
Extra Effort ◽  
Perishable Goods ◽  
Temperature Controlled

Supply chain management is the active management of supply chain activities to maximize customer value and achieve a sustainable competitive advantage for a longer time. The supply chain firms put an extra effort to develop and run in the most effective & efficient ways possible. There are issues of concern that need attention, like huge losses in perishables (food) because of infrastructural deficiencies. The demand for food remains highly unfulfilled in most of the country and outside in spite of high production of food. This is because of highly ineffective, inadequate and very weak supply chains for food that require temperature controlled conditions to retain quality and safety of food and curb the decay process. An effective food retail supply chain thus becomes vital (Bourkakis and Weightman, 2004).Supply chains for perishable and time-sensitive products, pose specific and unique challenges. The temperature controlled supply chains or cold chains are a significant proportion of the retail food market which is still in the nascent stage.

scholarly journals Supply Chain Management in Pandemic Times

2021 ◽  
Vol 15 (4) ◽  
pp. 524-528
Author(s):  
Atanas Kochov ◽  
Elena Kochovska
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Supply Chains ◽  
Automotive Industry ◽  
Research Study ◽  
Just In Time ◽  
Automotive Sector ◽  
Chain Management ◽  
The Republic

The automotive industry is one of the sectors that has been hardest hit by the pandemic crisis. The pandemic’s effects have resulted in multiple disorders, which led to loss of important suppliers and the inability to obtain vital parts, exposing the vulnerability of current Lean Just in Time supply chains. This paper provides a brief analysis of the COVID-19 pandemic's impact on the automotive sector in the Republic of North Macedonia. The provided findings are based on a research study conducted simultaneously in eight automotive organizations in the Republic of North Macedonia. This study sought to investigate the extent of the pandemic's influence on organizations' supply chains, what preventive steps have been implemented to minimize the virus's transmission, and what are the most prevalent obstacles that organizations have experienced during the pandemic.

Control of Perishable Goods in Cold Logistic Chains by Bionanosensors

2017 ◽  
pp. 471-497 ◽  
Author(s):  
David Bogataj ◽  
Damjana Drobne
Keyword(s):  
Supply Chain ◽  
Feedback Control ◽  
Supply Chains ◽  
Industrial Engineering ◽  
Fruit And Vegetable ◽  
Loss Prevention ◽  
Post Harvest ◽  
Perishable Goods ◽  
Temperature And Humidity ◽  
Post Harvest Loss

Nanotechnology can contribute to food security in supply chains of agri production-consumption systems. The unique properties of nanoparticles have stimulated the increasing interest in their application as biosensing. Biosensing devices are designed for the biological recognition of events and signal transduction. Many types of nanoparticles can be used as biosensors, but gold nanoparticles have sparked most interest. In the work presented here, we will address the problem of fruit and vegetable decay and rotting during transportation and storage, which could be easily generalized also onto post-harvest loss prevention in general. During the process of rotting, different compounds, including different gasses, are released into the environment. The application of sensitive bionanosensors in the storage/transport containers can detect any changes due to fruit and vegetable decay and transduce the signal. The goal of this is to reduce the logistics cost for this items. Therefore, our approach requires a multidisciplinary and an interdisciplinary approach in science and technology. The cold supply chain is namely a science, a technology and a process which combines applied bio-nanotechnology, innovations in the industrial engineering of cooling processes including sensors for temperature and humidity measurements, transportation, and applied mathematics. It is a science, since it requires the understanding of chemical and biological processes linked to perishability and the systems theory which enables the developing of a theoretical framework for the control of systems with perturbed time-lags. Secondly, it is a technology developed in engineering which relies on the physical means to assure appropriate temperature conditions along the CSC and, thirdly, it is also a process, since a series of tasks must be performed to prepare, store, and transport the cargo as well as monitor the temperature and humidity of sensitive cargo and give proper feedback control, as it will be outlined in this chapter. Therefore, we shall discuss how to break the silos of separated knowledge to build an interdisciplinary and multidisciplinary science of post-harvest loss prevention. Considering the sensors as floating activity cells, modelled as floating nodes, in a graph of such a system, an extended Material Requirement Planning (MRP) theory will be described which will make it possible to determine the optimal feedback control in post-harvest loss prevention, based on bionanosensors. Therefore, we present also a model how to use nanotechnology from the packaging facility to the final retail. Any changes in time, distance, humidity or temperature in the chain could cause the Net Present Value (NPV) of the activities and their added value in the supply chain to be perturbed, as presented in the subchapter. In this chapter we give the answers to the questions, how to measure the effects of some perturbations in a supply chain on the stability of perishable agricultural goods in such systems and how nanotechnology can contribute with the appropriate packaging and control which preserves the required level of quality and quantity of the product at the final delivery. The presented model will not include multicriteria optimization but will stay at the NPV approach. But the annuity stream achieved by improved sensing and feedback control could be easily combined with environmental and medical/health criteria. An interdisciplinary perspective of industrial engineering and management demonstrates how the development of creative ideas born in separate research fields can be liaised into an innovative design of smart control devices and their installation in trucks and warehouses. These innovative technologies could contribute to an increase in the NPV of activities in the supply chains of perishable goods in general.

scholarly journals Lessons Learned from the COVID-19 Pandemic Exposing the Shortcomings of Current Supply Chain Operations: A Long-Term Prescriptive Offering

2020 ◽  
Vol 12 (14) ◽  
pp. 5858 ◽  
Author(s):  
Guiyang Zhu ◽  
Mabel C. Chou ◽  
Christina W. Tsai
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
General Public ◽  
Respiratory Virus ◽  
Lessons Learned ◽  
Just In Time ◽  
Safety Stock ◽  
The World ◽  
The Relationship

COVID-19 is a highly infectious respiratory virus that has posed a great threat to the general public. In order to prevent its spread, many governments have enacted stringent measures. Supply chains around the world are facing major disruptions and difficulties adjusting to the new demands and needs of a locked down world. In this paper, we will address the relationship between supply chain operations and the ongoing COVID-19 pandemic. Given current global shortages in essential goods such as medication, we explore the connection between said shortage and supply chain issues, such as the lack of supply chain transparency and resilience, as well as unsustainable just-in-time manufacturing. To mitigate the effects of these issues and protect supply chain operations, we propose some recommendations, such as nationalizing the medical supply chains, adopting a plus one diversification approach, and increasing safety stock. These recommendations are given to not only mitigate current consequences in relation to the ongoing crisis, but also to suggest measures that will provide firms the resiliency needed to weather similar potential shortages in the future.

scholarly journals A Strategic Framework for Managing Failure in JIT Supply Chains

2011 ◽  
pp. 2206-2222
Author(s):  
Jaydeep Balakrishnan ◽  
Frances Bowen ◽  
Astrid L.H. Eckstein
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Two Dimensions ◽  
Just In Time ◽  
Strategic Framework ◽  
Failure Risk ◽  
The Future

Supply chains can be disrupted at both local and global levels. Just-In-Time (JIT) companies should be particularly interested in managing supply chain failure risk as they often have very little inventory to buffer themselves when their upstream supply chain fails. We develop previous research further and present a strategic framework to manage supply chain failure in JIT supply chains. We identify two dimensions along which the risks of failure can be categorized: location and unpredictability. We go on to identify strategies which companies can use either before (proactive) or after (reactive) the failure to manage supply chain failure. We support our framework with examples of actual responses to supply chain failures in JIT companies. It is also hoped that our strategic framework will be validated empirically in the future leading to specific guidance for managers.

scholarly journals PROJECT PORTFOLIOS OPTIMISATION OF COLLECTIVE STRATEGIES IMPLEMENTATION IN SUPPLY CHAIN NETWORKS

2021 ◽  
Vol 1 (48) ◽  
pp. 44-62
Author(s):  
Vorkut T ◽  
◽  
Bilonoh O ◽  
Petunin A ◽  
Tretynychenko Y ◽  
...  
Keyword(s):  
Mathematical Model ◽  
Supply Chain ◽  
Supply Chains ◽  
Portfolio Management ◽  
Portfolio Optimisation ◽  
Single System ◽  
Supply Chain Networks ◽  
Perishable Goods ◽  
Logistics Strategy ◽  
Methodological Approaches

The actuality of the theme arises from the need to improve and further develop the methodological support of portfolio management processes in the context of the portfolio management introduction of collective strategies implementation in supply chain networks. The purpose of the study is to develop a mathematical model for determining the optimal portfolio components as a means of single system implementation of collective strategies in supply chain networks (SCNs) to meet the target value of selected criteria of efficiency and cost-effectiveness of supply chains as integral objects, taking into account the possibility of presenting these criteria as stochastic variables. The given model is described in the paper in the terms of portfolio implementation optimisation, the components of which are aimed at reducing the delivery time of orders in the supply chain. Objectives of the study: to conduct a comparative analysis of the PMI portfolio management standard versions in order to form a conceptual framework for the study and determine the knowledge base for portfolio management by the subject of the research; to formulate the problem of portfolio components optimisation for the collective strategies implementation in SCNs; to analyse and identify scientific gaps in methodological approaches to solving the problem of optimizing portfolio components of the collective strategies implementation in SCNs in the proposed formulation; to develop a mathematical model for determining the optimal portfolio components for the implementation of collective strategies in SCNs as in the case of portfolio optimisation for a collective logistics strategy implementation, the components of which are aimed at reducing the time of orders delivery in supply chain; to approve the developed mathematical model for portfolio optimisation under the operation conditions of perishable goods supply chains in Ukraine. Utilised techniques of the research. The research is based on the concept of forming, on a single system basis, the collective strategies portfolio implementation in SCNs, which foresees the spread of portfolio management, which is defined to be an effective tool for the strategy implemention of an individual organisation, in a similar way a network of organisations, if the development conditions of the given network foresee the adoption of a collective strategy. Based on a comparative analysis of the four known versions of the PMI portfolio management standard for 2020, portfolio management is identified as a knowledge basis for portfolio management of methods and models for portfolio optimisation and strategies implementation in organisations. Based on the analysis of scientific and other information sources, the objective of optimizing the portfolios composition of collective strategies in SCNs is formulated as one that foresees the single system optimisation of the supply chain portfolio to meet the targets of selected criteria of efficiency and cost­effectiveness of the supply chain as a whole object, taking into account the possibility of presenting these criteria as stochastic variables. Based on the analysis of methodological approaches to solving the problem of optimizing the portfolio composition of collective strategies in SCNs, we identified a scientific gap, including the knowledge basis of portfolio management composition, in terms of lack of models for portfolio components optimisation. They would give the possibility to assess these components from a single system position of SCNs according to the established, in general case, several criteria, taking into account the possibility to present these criteria as stochastic variables. Based on the analysis of methodological approaches to solving multicriteria problems, taking into account the fact that some parameters may be stochastic, to solve the problem of portfolios components optimisation of collective strategies in SCNs in the proposed presentation we chose such an approach to solving multicriteria problems as establishing one (main) criterion transfering others to the rank of restraints. This gave grounds to apply the method of stochastic integer programming and to accept the condition about the random nature of individual parameters, i.e. the method of stochastic integer programming. As a result, the mathematical model for determining the optimal composition of portfolios was introduced as a means of implementing, on a single system basis, collective strategies in SCNs according to the requirements of achieving the target values of the selected criteria as stochastic variables. This model is described in the paper under the conditions of the portfolio optimisation of logistics strategy implementation, the components of which are aimed at reducing the time of order delivery of supply chain. The reliability of the model is confirmed by its practical approval within 2018-2020 in seven types of perishable goods supply chains, which involved companies, such as: FROZEN FRUT LLC, Handikap LLC, AIFT Ukraine LLC, Hroskhandel LLC, Olhopilske Motor Transport Enterprise LLC and Ukrainskyi Product PE. KEY WORDS: COLLECTIVE STRATEGY, SUPPLY CHAIN, LOGISTICS STRATEGY, SUPPLY CHAIN MANAGEMENT, PORTFOLIO-MANAGEMENT.

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