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1 – 10 of over 4000
Article
Publication date: 6 July 2018

Y.P. Tsang, K.L. Choy, C.H. Wu, G.T.S. Ho, Cathy H.Y. Lam and P.S. Koo

Since the handling of environmentally sensitive products requires close monitoring under prescribed conditions throughout the supply chain, it is essential to manage…

4168

Abstract

Purpose

Since the handling of environmentally sensitive products requires close monitoring under prescribed conditions throughout the supply chain, it is essential to manage specific supply chain risks, i.e. maintaining good environmental conditions, and ensuring occupational safety in the cold environment. The purpose of this paper is to propose an Internet of Things (IoT)-based risk monitoring system (IoTRMS) for controlling product quality and occupational safety risks in cold chains. Real-time product monitoring and risk assessment in personal occupational safety can be then effectively established throughout the entire cold chain.

Design/methodology/approach

In the design of IoTRMS, there are three major components for risk monitoring in cold chains, namely: wireless sensor network; cloud database services; and fuzzy logic approach. The wireless sensor network is deployed to collect ambient environmental conditions automatically, and the collected information is then managed and applied to a product quality degradation model in the cloud database. The fuzzy logic approach is applied in evaluating the cold-associated occupational safety risk of the different cold chain parties considering specific personal health status. To examine the performance of the proposed system, a cold chain service provider is selected for conducting a comparative analysis before and after applying the IoTRMS.

Findings

The real-time environmental monitoring ensures that the products handled within the desired conditions, namely temperature, humidity and lighting intensity so that any violation of the handling requirements is visible among all cold chain parties. In addition, for cold warehouses and rooms in different cold chain facilities, the personal occupational safety risk assessment is established by considering the surrounding environment and the operators’ personal health status. The frequency of occupational safety risks occurring, including cold-related accidents and injuries, can be greatly reduced. In addition, worker satisfaction and operational efficiency are improved. Therefore, it provides a solid foundation for assessing and identifying product quality and occupational safety risks in cold chain activities.

Originality/value

The cold chain is developed for managing environmentally sensitive products in the right conditions. Most studies found that the risks in cold chain are related to the fluctuation of environmental conditions, resulting in poor product quality and negative influences on consumer health. In addition, there is a lack of occupational safety risk consideration for those who work in cold environments. Therefore, this paper proposes IoTRMS to contribute the area of risk monitoring by means of the IoT application and artificial intelligence techniques. The risk assessment and identification can be effectively established, resulting in secure product quality and appropriate occupational safety management.

Details

Industrial Management & Data Systems, vol. 118 no. 7
Type: Research Article
ISSN: 0263-5577

Keywords

Article
Publication date: 30 April 2021

Henry Lau, Yung Po Tsang, Dilupa Nakandala and Carman K.M. Lee

In the cold supply chain (SC), effective risk management is regarded as an essential component to address the risky and uncertain SC environment in handling time- and…

Abstract

Purpose

In the cold supply chain (SC), effective risk management is regarded as an essential component to address the risky and uncertain SC environment in handling time- and temperature-sensitive products. However, existing multi-criteria decision-making (MCDM) approaches greatly rely on expert opinions for pairwise comparisons. Despite the fact that machine learning models can be customised to conduct pairwise comparisons, it is difficult for small and medium enterprises (SMEs) to intelligently measure the ratings between risk criteria without sufficiently large datasets. Therefore, this paper aims at developing an enterprise-wide solution to identify and assess cold chain risks.

Design/methodology/approach

A novel federated learning (FL)-enabled multi-criteria risk evaluation system (FMRES) is proposed, which integrates FL and the best–worst method (BWM) to measure firm-level cold chain risks under the suggested risk hierarchical structure. The factors of technologies and equipment, operations, external environment, and personnel and organisation are considered. Furthermore, a case analysis of an e-grocery SC in Australia is conducted to examine the feasibility of the proposed approach.

Findings

Throughout this study, it is found that embedding the FL mechanism into the MCDM process is effective in acquiring knowledge of pairwise comparisons from experts. A trusted federation in a cold chain network is therefore formulated to identify and assess cold SC risks in a systematic manner.

Originality/value

A novel hybridisation between horizontal FL and MCDM process is explored, which enhances the autonomy of the MCDM approaches to evaluate cold chain risks under the structured hierarchy.

Details

Industrial Management & Data Systems, vol. 121 no. 7
Type: Research Article
ISSN: 0263-5577

Keywords

Open Access
Article
Publication date: 23 March 2018

Tina Comes, Kristin Bergtora Sandvik and Bartel Van de Walle

The purpose of this paper is to analyze how far technology and information enable, facilitate or support the planning and implementation decisions in humanitarian vaccine…

12630

Abstract

Purpose

The purpose of this paper is to analyze how far technology and information enable, facilitate or support the planning and implementation decisions in humanitarian vaccine cold chains for vaccination campaigns. The authors specifically focus on three emerging technologies that have the potential to create more flexible conditions in the field, and identify the need to further explore the link between uncertainty, information and irreversibility.

Design/methodology/approach

The authors present a basic structure for the analysis of cold chain disruptions in terms of three distinct yet connected layers of deficient infrastructure and capacity, information gaps and failures in decision making. The authors then review three humanitarian technologies and their impact on vaccine campaigns along these layers. From there, a research agenda is developed to address research gaps this review brought forward.

Findings

Three critical research gaps in the areas of technology innovation for humanitarian vaccine cold chain management are presented. The authors argue that technology to improve capacity, information and decisions need to be aligned, and that the areas of uncertainty, information and irreversibility require further investigation to achieve this alignment. In this way, the paper contributes to setting the research agenda on vaccine cold chains and connects humanitarian logistics to technology, information management and decision making.

Originality/value

This paper presents the humanitarian vaccine cold chain problem from an original angle by illuminating the implications of technology and information on the decisions made during the planning and implementation phases of a vaccine campaign. The authors develop an agenda to provide researchers and humanitarians with a perspective to improve cold chain planning and implementation at the intersection of technology, information and decisions.

Details

Journal of Humanitarian Logistics and Supply Chain Management, vol. 8 no. 1
Type: Research Article
ISSN: 2042-6747

Keywords

Article
Publication date: 5 June 2018

Atanu Chaudhuri, Iskra Dukovska-Popovska, Nachiappan Subramanian, Hing Kai Chan and Ruibin Bai

The purpose of the paper is to identify the multiple types of data that can be collected and analyzed by practitioners across the cold chain, the ICT infrastructure…

4588

Abstract

Purpose

The purpose of the paper is to identify the multiple types of data that can be collected and analyzed by practitioners across the cold chain, the ICT infrastructure required to enable data capture and how to utilize the data for decision making in cold chain logistics.

Design/methodology/approach

Content analysis based literature review of 38 selected research articles, published between 2000 and 2016, was used to create an overview of data capture, technologies used for collection and sharing of data, and decision making that can be supported by the data, across the cold chain and for different types of perishable food products.

Findings

There is a need to understand how continuous monitoring of conditions such as temperature, humidity, and vibration can be translated to support real-time assessment of quality, determination of actual remaining shelf life of products and use of those for decision making in cold chains. Firms across the cold chain need to adopt appropriate technologies suited to the specific contexts to capture data across the cold chain. Analysis of such data over longer periods can also unearth patterns of product deterioration under different transportation conditions, which can lead to redesigning the transportation network to minimize quality loss or to take precautions to avoid the adverse transportation conditions.

Research limitations/implications

The findings need to be validated through further empirical research and modeling. There are opportunities to identify all relevant parameters to capture product condition as well as transaction data across the cold chain processes for fish, meat and dairy products. Such data can then be used for supply chain (SC) planning and pricing products in the retail stores based on product conditions and traceability information. Addressing some of the above research gaps will call for multi-disciplinary research involving food science and engineering, information technologies, computer science and logistics and SC management scholars.

Practical implications

The findings of this research can be beneficial for multiple players involved in the cold chain like food processing companies, logistics service providers, ports and wholesalers and retailers to understand how data can be effectively used for better decision making in cold chain and to invest in the specific technologies, which will suit the purpose. To ensure adoption of data analytics across the cold chain, it is also important to identify the player in the cold chain, which will drive and coordinate the effort.

Originality/value

This paper is one of the earliest to recognize the need for a comprehensive assessment for adoption and application of data analytics in cold chain management and provides directions for future research.

Details

The International Journal of Logistics Management, vol. 29 no. 3
Type: Research Article
ISSN: 0957-4093

Keywords

Article
Publication date: 24 October 2009

Rohit Joshi, Devinder Kumar Banwet and Ravi Shankar

The cold chain has become an integral part of the supply chain of perishable items. Recent studies have shown a critical absence of a strong and dependable cold chain in…

4426

Abstract

Purpose

The cold chain has become an integral part of the supply chain of perishable items. Recent studies have shown a critical absence of a strong and dependable cold chain in developing economies. The purpose of this paper is to set out to identify and inter‐relate the inhibitors that significantly influence the efficiency of a cold chain in developing economies like India.

Design/methodology/approach

The synthesis and prioritization of inhibitors are done on the basis of an extensive literature review as well as consultation with academicians and industrial professionals. Using semi‐structured interviews and Fuzzy Interpretive Structure Modeling (FISM) approach, the research presents a hierarchy‐based model.

Findings

The end result is a model that establishes the relationships among the identified inhibitors with their respective dominance. The research shows that there exists a group of inhibitors having a high driving power and low dependence with strategic importance and requiring maximum attention and another group includes inhibitors that have high dependence and the consequential actions.

Research limitations/implications

At the time when cold chain is the key domain for the food sector, these findings will be immensely helpful for industry professionals, Government, non‐government, academia and the community in developing strategies and impounding the root causes responsible for the inefficient and weak cold chain in India. The Indian situation echoes to the situation in most of the developing economies and similar solutions can apply there also. These findings will be truly useful for organizations that are planning to operate food chains in developing nations.

Orignality/value

Presentation of inhibitors in hierarchy and their classification into driver and dependent categories with their respective dominance on the system is a unique effort in the area of cold chain management. This would help decision makers to better utilize the limited resources.

Details

British Food Journal, vol. 111 no. 11
Type: Research Article
ISSN: 0007-070X

Keywords

Article
Publication date: 19 November 2021

Pei-Ju Wu, Liang-Tay Lin and Chi-Chang Huang

High-quality cold-chain logistics are key to effectively managing the quality of temperature-sensitive foods. Hence, this study investigates the service quality of such…

Abstract

Purpose

High-quality cold-chain logistics are key to effectively managing the quality of temperature-sensitive foods. Hence, this study investigates the service quality of such logistics, using a real-life case of temperature-sensitive milk delivery.

Design/methodology/approach

This study focuses on developing business analytics for quality control in cold-chain perishable-food logistics, grounded in normal accident theory and stakeholder theory, and tests them using real-world data.

Findings

The empirical business-analytics results indicate that cargo locations, logistics status and delivery times are the essential factors that influence the quality of temperature-sensitive milk.

Research limitations/implications

This study confirms that a combination of normal accident theory and stakeholder theory can be usefully applied to the development of strategies for managing perishable-food logistics. As such, its proposed business analytics provide a fresh foundation for research on logistics quality management.

Practical implications

The balance between efficiency and service quality in a logistics system should be assessed carefully, and logistics companies should collaborate with their stakeholders and can help to mitigate potential cold-chain risks.

Originality/value

This pioneering analytical study explores the essential quality issues that confront cold chains and demonstrates how to extract vital insights from temperature-sensitive food logistics monitoring data. As such, it represents a noteworthy contribution to the field of logistics quality management.

Details

Asia Pacific Journal of Marketing and Logistics, vol. 34 no. 9
Type: Research Article
ISSN: 1355-5855

Keywords

Article
Publication date: 13 May 2021

Surya Prakash, Naga Vamsi Krishna Jasti, F.T.S. Chan, Nilaish, Vijay Prakash Sharma and Lalit Kumar Sharma

The objective of the present study is to identify and analyze a set of critical success factors (CSFs) for ice-cream industry [cold chain management (CCM)] that helps in…

Abstract

Purpose

The objective of the present study is to identify and analyze a set of critical success factors (CSFs) for ice-cream industry [cold chain management (CCM)] that helps in increasing the efficacy, quality, performance and growth of the supply chain organization.

Design/methodology/approach

A questionnaire survey with companies in ice-cream sector and a panel study with experts were conducted to identify and validate CSFs and their associated sub-factors. Eight CSFs identified from the cold chain domain vetted for the ice-cream industry and then prioritized by using one of the most well-known decision-making frameworks, Decision-Making Trial and Evaluation Laboratory. The general verdicts of the modelling and its application to the real-world case have been tested through an ice-cream company supply chain.

Findings

The result shows that the significant CSFs accountable for the growth of the ice-cream industry are the infrastructure and capacity building, consistent product improvement and operational efficiencies of the value chain. Subsequently, it was identified that the use of IT and related technologies and improved processes for operations also play a considerable role in the performance of ice-cream industry.

Practical implications

The study successfully outlines the effective CCM practices for critical issues. The proposed methodology and factor modelling case demonstration might be useful in analyzing the logistic chains of products such as fruits, drugs and meat.

Originality/value

The meritorious identification of critical areas and executing mitigation plans bring notable benefits to the firms such as improved operational efficiencies, improved time to market performance and product innovation, which bring additional benefits to the producers.

Details

Measuring Business Excellence, vol. 26 no. 3
Type: Research Article
ISSN: 1368-3047

Keywords

Article
Publication date: 26 July 2021

Cansu Turan and Yucel Ozturkoglu

There is a large number of perishable foodstuffs produced, stored, distributed and delivered daily around the world. Almost all except for root vegetables are sensitive…

Abstract

Purpose

There is a large number of perishable foodstuffs produced, stored, distributed and delivered daily around the world. Almost all except for root vegetables are sensitive products to temperature. Thus, adopting uninterrupted and appropriate logistics activities with predetermined range of temperature from production site until end-user is critical for ensuring required quality and safety. If a mistake is made during either transport or storage, it not only becomes risky for human health, but also generates huge food waste for the environment and negative economic impact for food providers. Therefore, this study aims to identify all potential factors affecting the cold chain performance in the food industry and to design a framework that includes these factors. This framework is also a roadmap for managers, food providers and logistics parties for sustainable cold chain management.

Design/methodology/approach

Considering, tangible and intangible potential criteria, the ultimate goal of this study is to identify potential criteria affecting cold food chain performance and propose a conceptual framework including 12 main criteria. Next, the importance order of each criterion and the causal relationships between them are determined. In this study, this relationship among criteria is analyzed by using fuzzy Decision-making Trial and Evaluation Laboratory (DEMATEL) approach because of its ability to solve complex problems by ensuring causal relationship among factors, additionally to determine importance order. Finally, suggestions for administrative implications are presented.

Findings

Fuzzy DEMATEL was used to explain the causal link and importance order among identified drivers. The analysis shows that five criteria (C1, C3, C8, C9 and C12) belong to cause (influential) groups and remaining seven criteria belong to effect (influenced) groups. The highest influential criterion is staff (C8) and is followed by technical issues (C9) as the second most influential factor. Additionally, top three most important factors are traceability (C7), staff (C8) and cold transportation (C5). According to the numerical results of fuzzy DEMATEL implementations, suggestions for managerial implementations are presented.

Practical implications

The main contribution of the study is to propose meaningful suggestions for managerial implications about sustainable cold chain in food industry for businesses and to examine causal relations between criteria and to rank criteria in descending importance order.

Originality/value

To the best of the authors’ knowledge, this is the first study that focuses on determining the potential criteria affecting cold supply chain performance both theoretically and empirically in the sustainability environment. What are the enablers that affect the cold food supply chain stages is the research question of this study.

Details

Journal of Modelling in Management, vol. 17 no. 4
Type: Research Article
ISSN: 1746-5664

Keywords

Open Access
Article
Publication date: 16 October 2017

Hao Zhang, Bin Qiu and Keming Zhang

The purpose of this paper is to develop a quantitative risk assessment method for agricultural products cold chain logistics to assess the condition of the fresh…

6863

Abstract

Purpose

The purpose of this paper is to develop a quantitative risk assessment method for agricultural products cold chain logistics to assess the condition of the fresh agricultural products cold chain process objectively and accurately.

Design/methodology/approach

A risk assessment index system of agricultural products cold chain logistics is designed on the basis of the risk identification for the process of agricultural products cold chain logistics. This paper first uses catastrophe progression method and a new maximum deviation method to build an improved catastrophe progression assessment model for agricultural products cold chain logistics. In order to verify the reliability and validity of the model, two representative enterprises are selected as the case in the study.

Findings

The results in the empirical research indicate strong support for the assessment model and coincide with the reality. The risk assessment index system can also reflect the key risk factors from agricultural products cold chain logistics scientifically. In addition, the improved catastrophe progression assessment method proposed in this paper can be scientific and reasonable to predict risk.

Research limitations/implications

This paper contributes to provide a new risk assessment model for agricultural products cold chain logistics. The new model overcomes the limitation of subjective empowerment and it increases the objectivity and scientificity in the process of cold chain logistics risk assessment. This paper also shows that practitioners involved in the field of products cold chain logistics can manage the potential risk by a set of scientific methods for assessing the risk before the accident.

Practical implications

The paper provides a practical guideline to practitioners, especially for cold chain logistics managers, relevant management departments, and cold chain logistics management consultants. It is proved that the new risk assessment method and the risk assessment index system of agricultural products cold chain logistics can help them assess the risk scientifically and reasonably.

Originality/value

Although the calculation is simple, the new model can overcome the limitation of subjective empowerment scientifically and reasonably, and thus has important practical value.

Details

Industrial Management & Data Systems, vol. 117 no. 9
Type: Research Article
ISSN: 0263-5577

Keywords

Article
Publication date: 9 June 2022

Cansu Turan and Yucel Ozturkoglu

This study focuses on identifying potential challengers affecting cold chain performance in the pharmaceutical industry. Considering the history of humanity, every…

Abstract

Purpose

This study focuses on identifying potential challengers affecting cold chain performance in the pharmaceutical industry. Considering the history of humanity, every pandemic experienced could only be controlled with the vaccine found. While the world is fighting the unforgettable epidemic called COVID-19, scientists are also working to find the therapeutic vaccine. The vaccines studied have different temperature storage and transport properties. In the pharmaceutical industry, it is necessary to know and analyse every step of the cold supply chain to provide the most appropriate and safe cooling level. In addition, it is important to understand the relationship between all the facilities, equipment, tools and materials needed to avoid mistakes along the chain.

Design/methodology/approach

Hence, this study focuses on identifying potential challengers affecting sustainable cold supply chain performance in the pharmaceutical industry and proposing a conceptual framework that involves these main challengers. In this study, firstly, different main and sub-factors are defined from the literature, and fuzzy Decision Making Trial and Evaluation Laboratory method is applied to analyse the causal link between these factors for an effective application.

Findings

Results showed that packaging, transportation and shipping, storage specifications and handling practices, inventory management, technical issues and delivery delay are the most affected factors during the sustainable cold supply chain performance in the pharmaceutical industry. This study offers both managerial implications and a roadmap that are designed with a holistic view to guide manufacturer, logistics parties and even policymakers.

Originality/value

Some of the studies related to the pharmaceutical industry are monitoring and controlling the temperature in the cold supply chain steps; the other part is the studies where the chain steps are examined with a focus on production or transportation. While these issues are the focus, the requirements and conditions of each stage of the supply chain must be studied for a safe, effective and sustainable cold chain beyond the current global pandemic crisis. To the best of the authors’ knowledge, this is the first study that highlights identifying the potential challengers that affect cold supply chain performance for the pharmaceutical industry both theoretically and empirically, solving the causal relationships among these challengers and designing a holistic framework.

Details

International Journal of Pharmaceutical and Healthcare Marketing, vol. 16 no. 3
Type: Research Article
ISSN: 1750-6123

Keywords

1 – 10 of over 4000