Supply chain agility in humanitarian protracted operations

2016 ◽  
Vol 6 (2) ◽  
pp. 173-201 ◽  
Author(s):  
Cécile L'Hermitte ◽  
Peter Tatham ◽  
Ben Brooks ◽  
Marcus Bowles
Keyword(s):  
Supply Chain ◽  
Humanitarian Logistics ◽  
Future Research ◽  
Short Term ◽  
Content Type ◽  
Emergency Operations ◽  
Supply Chain Agility ◽  
Agile Practices ◽  
Basic Features

Purpose – The purpose of this paper is to extend the concept of agility in humanitarian logistics beyond emergency operations. Since the humanitarian logistics literature focuses primarily on emergencies and sees longer term and regular operations as being conducted in relatively stable and predictable environments, agile practices are usually not associated with humanitarian protracted operations. Therefore, this paper explores the logistics and supply chain environment in such operations in order to identify their basic features and determine if agility is an important requirement. Design/methodology/approach – Using a case study of the United Nations World Food Programme, the authors collected and analysed qualitative and quantitative data on the characteristics of protracted operations, the risks and uncertainties most frequently encountered, their impact, and the ways that field logisticians manage contingencies. Findings – The research demonstrates that unpredictability and disruptions exist in protracted operations. Therefore, short-term operational adjustments and agile practices are needed in order to support the continuity of humanitarian deliveries. Research limitations/implications – Future research should focus on a wider range of humanitarian organisations and move from a descriptive to a prescriptive approach in order to inform practice. Notwithstanding these limitations, the study highlights the need for academics to broaden the scope of their research beyond emergencies and to address the specific needs of humanitarian organisations involved in longer term operations. Originality/value – This paper is the first empirical research focusing exclusively on the logistics features of humanitarian protracted operations. It provides a more concrete and complete understanding of these operations.

A systematic literature review of healthcare supply chain and implications of future research

2019 ◽  
Vol 13 (4) ◽  
pp. 405-435 ◽  
Author(s):  
Anuj Dixit ◽  
Srikanta Routroy ◽  
Sunil Kumar Dubey
Keyword(s):  
Supply Chain ◽  
Literature Review ◽  
Inventory Management ◽  
Cold Chain ◽  
Future Research ◽  
Research Papers ◽  
Content Type ◽  
Drug Manufacturing ◽  
Customer Training

Purpose This paper aims to review the healthcare supply chain (HSC) literature along various areas and to find out the gap in it. Design/methodology/approach In total, 143 research papers were reviewed during 1996-2017. A critical review was carried out in various dimensions such as research methodologies/data collection method (empirical, case study and literature review) and inquiry mode of research methodology (qualitative, quantitative and mixed), country-specific, targeted area, research aim and year of publication. Findings Supply chain (SC) operations, performance measurement, inventory management, lean and agile operation, and use of information technology were well studied and analyzed, however, employee and customer training, tracking and visibility of medicines, cold chain management, human resource practices, risk management and waste management are felt to be important areas but not much attention were made in this direction. Research limitations/implications Mainly drug and vaccine SC were considered in current study of HSC while SC along healthcare equipment and machine, hospitality and drug manufacturing related papers were excluded in this study. Practical implications This literature review has recognized and analyzed various issues relevant to HSC and shows the direction for future research to develop an efficient and effective HSC. Originality/value The insight of various aspects of HSC was explored in general for better and deeper understanding of it for designing of an efficient and competent HSC. The outcomes of the study may form a basis to decide direction of future research.

A systematic review of the literature on supply chain agility

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bharat Singh Patel ◽  
Murali Sambasivan
Keyword(s):  
Supply Chain ◽  
Cost Benefit ◽  
Business Environment ◽  
Future Research ◽  
Research Directions ◽  
Content Type ◽  
Trade Offs ◽  
Supply Chain Agility ◽  
Agility Assessment ◽  
Future Research Directions

Purpose The purpose of this study is to critically examine the scholarly articles associated Murali Sambasivan with the diverse aspects of supply chain agility (SCA). The review highlights research insights, existing gaps and future research directions that can help academicians and practitioners gain a comprehensive understanding of SCA. Design/methodology/approach The present study has adopted author co-citation analysis as the research methodology, with a view to thoroughly investigating the good-quality articles related to SCA that have been published over a period of 22 years (1999-2020). In this study, 126 research papers on SCA – featuring diverse aspects of agility – from various reputed journals have been examined, analysed and assimilated. Findings The salient findings of this research are, namely, agility is different from other similar concepts, such as flexibility, leanness, adaptability and resilience; of the 13 dimensions of agility discussed in the literature, the prominent ones are quickness, responsiveness, competency and flexibility; literature related to SCA can be categorised as related to modelling the enablers, agility assessment, agility implementation, leagility and agility maximisation. This research proposes a more practical definition and framework for SCA. The probable areas for future research are, namely, impediments to agility, effective approaches to agility assessment, cost-benefit trade-offs to be considered whilst implementing agility, empirical research to validate the framework and SCA in the domain of healthcare and disaster relief supply chains. Practical implications This paper provides substantial insights to practitioners who primarily focus on measuring and implementing agility in the supply chain. The findings of this study will help the supply chain manager gain a better idea about how to become competitive in today’s dynamic and turbulent business environment. Originality/value The originality of this study is in: comprehensively identifying the various issues related to SCA, such as related concepts, definitions, dimensions and different categories of studies covered in literature, proposing a new definition and framework for SCA and identifying potential areas for future research, to provide deeper insights into the subject and highlight areas for future research.

scholarly journals Understanding supply chain analytics capabilities and agility for data-rich environments

2019 ◽  
Vol 39 (6/7/8) ◽  
pp. 887-912 ◽  
Author(s):  
Samuel Fosso Wamba ◽  
Shahriar Akter
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Structural Equation ◽  
Equation Modeling ◽  
Future Research ◽  
Chain Management ◽  
Content Type ◽  
Supply Chain Agility ◽  
The Usa

Purpose Big data-driven supply chain analytics capability (SCAC) is now emerging as the next frontier of supply chain transformation. Yet, very few studies have been directed to identify its dimensions, subdimensions and model their holistic impact on supply chain agility (SCAG) and firm performance (FPER). Therefore, to fill this gap, the purpose of this paper is to develop and validate a dynamic SCAC model and assess both its direct and indirect impact on FPER using analytics-driven SCAG as a mediator. Design/methodology/approach The study draws on the emerging literature on big data, the resource-based view and the dynamic capability theory to develop a multi-dimensional, hierarchical SCAC model. Then, the model is tested using data collected from supply chain analytics professionals, managers and mid-level manager in the USA. The study uses the partial least squares-based structural equation modeling to prove the research model. Findings The findings of the study identify supply chain management (i.e. planning, investment, coordination and control), supply chain technology (i.e. connectivity, compatibility and modularity) and supply chain talent (i.e. technology management knowledge, technical knowledge, relational knowledge and business knowledge) as the significant antecedents of a dynamic SCAC model. The study also identifies analytics-driven SCAG as the significant mediator between overall SCAC and FPER. Based on these key findings, the paper discusses their implications for theory, methods and practice. Finally, limitations and future research directions are presented. Originality/value The study fills an important gap in supply chain management research by estimating the significance of various dimensions and subdimensions of a dynamic SCAC model and their overall effects on SCAG and FPER.

The Humanitarian Supply Chain Assessment Tool (HumSCAT)

2019 ◽  
Vol 9 (2) ◽  
pp. 221-249
Author(s):  
Ruth Banomyong ◽  
Puthipong Julagasigorn ◽  
Paitoon Varadejsatitwong ◽  
Pairach Piboonrungroj
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Assessment Tool ◽  
Recovery Phase ◽  
Future Research ◽  
Content Type ◽  
Humanitarian Supply Chains ◽  
Preparation Phase ◽  
Humanitarian Supply Chain

Purpose An understanding of the “AS-IS” stage of a relief operation is the basis for further action in humanitarian supply chain management. The purpose of this paper is to develop a toolbox called the Humanitarian Supply Chain Assessment Tool (HumSCAT). This toolbox is comprised of a set of basic tools which can be classified into each phase of disaster relief. Design/methodology/approach The HumSCAT is proposed by paralleling frequently used tools in commercial supply chains with the objectives and characteristics of relief phases. A case study was used to validate the HumSCAT along with six tools provided in the preparation phase. Findings The HumSCAT consists of seven tools in the preparation phase, nine tools in the response phase and ten tools in the recovery phase. The case study illustrates how to use the HumSCAT and the six tools. The latter were found to be useful for improving the relief chain. Research limitations/implications The list of tools is not exclusive. Other tools might be applicable as long as they meet the objectives and characteristics of the phase. A tool should be adjusted accordingly to the contexts. Tools in other phases should be validated in future research. Practical implications The HumSCAT may serve as a reference toolbox for practitioners. Its output can be used for further designing of the “TO-BE” status of humanitarian relief chains. Originality/value The HumSCAT is proposed as a toolbox for academics and practitioners involved in humanitarian supply chains.

scholarly journals Assessing the leanness of a supply chain using multi-grade fuzzy logic: a health-care case study

2019 ◽  
Vol 10 (1) ◽  
pp. 81-105 ◽  
Author(s):  
Abdulaziz Marzouq Almutairi ◽  
Konstantinos Salonitis ◽  
Ahmed Al-Ashaab
Keyword(s):  
Health Care ◽  
Fuzzy Logic ◽  
Supply Chain ◽  
Conceptual Model ◽  
Health Care Organization ◽  
Future Research ◽  
Care Organization ◽  
Content Type ◽  
Lean Principles

Purpose Numerous and diverse organizations have implemented lean principles and practices, which concentrate on improving the efficiency of business processes by reducing cost, waste, consumptions and effort. However, previous assessments have not focused on the leanness of the supply chain in a health-care setting. This paper aims to introduce a method for assessing the successful implementation of lean principles and tools in a supply chain. Furthermore, this paper validates the method in a health-care organization. Design/methodology/approach This paper starts with an extensive literature review on assessing leanness and using multi-grade fuzzy logic. Then, a conceptual model was developed to measure leanness. The conceptual model was validated by discussing the initial version with select academic experts, especially those who deal with leanness in health-care organizations. After responding to the experts’ valuable comments, the health-care organization that is the focus of this case study was chosen based on two criteria. The first criterion was the organization’s ability to participate in the study, and the second was the organization’s commitment to implementing lean principles. These criteria were important to ensure the organization had the necessary foundation for implementing change initiatives such as lean process improvements. Next, a multi-grade (multi-attributes) fuzzy logic was used for leanness measurement. A leanness index was calculated, and the results were validated using experts from the case study organization. Finally, the weaker areas of the organization’s processes were identified to point the way for further improvements. Findings The assessment indicated that the case study organization is not lean. The organization’s weaker attributes were identified, and improvements have been suggested. Research limitations/implications This study focused on a single health-care organization, which was selected from a limited pool of potential organizations, namely, organizations which are accredited by both the Saudi Central Board for Accreditation of Healthcare Institutions and the Joint Commission International. The scope of future research should be extended to multi-case studies to enhance the findings presented in this paper. This paper’s findings can be used to help decision-makers at health-care providers to implement lean thinking in supply chain processes. Practical implications This research may be interest to practicing supply chain managers, as it proposes what enablers, factors and attributes should be emphasized in lean implementation. The proposed model can work as an assessment tool to identify the gap between the present level of leanness and the desired leanness state so the health-care organization can identify what can be improved. This model enables decision-makers in hospital supply chain to take suitable actions for improving lean implementation level. Originality/value This study makes an original contribution to the body of research concerning lean principles; the study developed a conceptual model for leanness assessment that can be applied to the supply chain of health-care organizations. Indeed, the conceptual model is likely to be useful for assessing leanness outside of the health-care field, which suggests avenues for future research.

The value of fourth-party logistics services in the humanitarian supply chain

2015 ◽  
Vol 5 (1) ◽  
pp. 35-60 ◽  
Author(s):  
Hella Abidi ◽  
Sander de Leeuw ◽  
Matthias Klumpp
Keyword(s):  
Supply Chain ◽  
Real Life ◽  
Research Paper ◽  
Humanitarian Logistics ◽  
Added Value ◽  
Future Research ◽  
Content Type ◽  
Qualitative And Quantitative ◽  
Fourth Party Logistics ◽  
Humanitarian Supply Chain

Purpose – The purpose of this paper is to identify the value of fourth-party logistics (4PL) services in a humanitarian supply chain. Furthermore, it shows a framework for a fourth-party humanitarian logistics concept. Design/methodology/approach – The research paper presents a framework of fourth-party humanitarian logistics based on the four core components described by Christopher (2005) which was evaluated with a nonlinear approach called analytical hierarchy process (AHP). The AHP method explores qualitative and quantitative decision-making criteria in case of solving multi-attribute and complex problems. In total, seven experts from academia and practice have contributed to this research, resulting in a better understanding of the decisive needs of humanitarian supply chain actors for implementing and integrating a 4PL concept. Findings – The research shows an increased value for humanitarian supply chain actors of establishing a 4PL concept. The results present a positive influence of 4PL in complex disasters environments and provide key drivers for increasing and simplifying collaboration between the humanitarian supply chain actors. Research limitations/implications – Future research has to consider different disaster types and needs to further emphasize the added value for beneficiaries of implementing a 4PL concept in a humanitarian supply chain environment. Further research should preferably also consider case studies in order to analyse challenges, drawbacks and benefits of this concept (qualitative and quantitative factors) in a real-life humanitarian supply chain setting. Practical implications – The research offers managerial insights into the use of a 4PL concept in the humanitarian supply chain environment to improve efficiency due to an improved collaboration between the humanitarian supply chain actors. Originality/value – The research paper investigates an under-researched topic in the humanitarian supply chain environment. For humanitarian supply chain actors outsourcing their activities to a 4PL service provider could secure collaboration, increase service levels as well as efficiency and therefore create additional value.

scholarly journals Identification of environmental supply chain bottlenecks: a case study of the Ethiopian healthcare supply chain

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bjørn Jæger ◽  
Mesay Moges Menebo ◽  
Arvind Upadhyay
Keyword(s):  
Supply Chain ◽  
Literature Review ◽  
Supply Chains ◽  
Green Supply Chain ◽  
Future Research ◽  
Content Type ◽  
Green Supply Chains ◽  
Modelling Approach ◽  
Environmental Supply Chain

PurposeThe increasing rate of environmental concern and awareness by society has attracted attention from researchers and organisations to consider how to proceed towards green supply chains. The purpose of this paper is to identify operational bottlenecks in the multi-tier supply chain to guide organisations towards where to concentrate their efforts to address their supply chain environmental challenges.Design/methodology/approachThis paper presents a literature review identifying green supply chain challenges of multi-tier supply chains. Following the literature review is a case study of the Ethiopian health supply chain with 11 interviews, 11 international and 6 national surveys and data from public health information systems. An analysis based on multi-tier supply chain modelling is used to identify environmental supply chain bottlenecks.FindingsThis research found that the supply chain actors face severe challenges towards enhanced green supply chain performance mainly because of poor inventory management (IN), inefficient tracking and tracing (TR) and fake or sub-standard products in the supply chain, especially counterfeit medicines (CO). Specific environmental bottlenecks within each of the challenge areas IN, TR and CO where identified serving as recommendations for where supply chain actors should focus their work towards greener supply chains.Research limitations/implicationsThe data come from participants in a single country, Ethiopia; although the supply chain challenges are common for developing countries in general.Practical implicationsThis research presents a modelling approach to identify supply chain activities considered as environmental bottlenecks in multi-tier supply chains. The environmental bottlenecks pinpoint supply chain activities to focus on for a transition towards green supply chains for manufacturers, public and private health organisations, hospitals and health care units.Originality/valueThis paper contributes to the literature on GSCM by developing a multi-tier modelling approach for identifying environmental supply chain bottlenecks. The applicability of the model is demonstrated by the identification of environmental bottlenecks in a healthcare supply chain supporting decisions on what challenges a green supply chain strategy should address. It serves as a basis for future research on where to implement GSCM practices in supply chains (SCs).

Empirical behavioral analysis of project contractors' supply‐chain payment terms

2012 ◽  
Vol 17 (3) ◽  
pp. 277-289 ◽  
Author(s):  
Hong Long Chen
Keyword(s):  
Supply Chain ◽  
Quantitative Methods ◽  
Single Case ◽  
Project Managers ◽  
Future Research ◽  
Structured Interviews ◽  
Content Type ◽  
Qualitative And Quantitative Methods ◽  
Study Approach

PurposeResearchers in supply chain (SC) payment management have long sought to understand how project contractors, project owners, specialist contractors, and suppliers behave in the context of negotiating payment terms that improve contractors' SC cash flow.Design/methodology/approachUsing a single case study approach, semi‐structured interviews with contract and project managers identify behavioral patterns. An analysis of categorical experiments and Spearman's correlation tests on 118 surveys from Taiwanese project contracting corporations generalizes the case findings.FindingsThe findings suggest that payment terms of project owners, specialists, and suppliers have an important impact on contractors' working capital. The findings also reveal that contractors pass project owners' payment terms down to specialists and suppliers, suggesting that contractors' behavior depends on that of the project owners.Research limitations/implicationsThis paper generalizes the case findings via surveys, but does not assume that the reported behavior patterns apply to all business enterprises. Future research could triangulate the findings.Originality/valueThis study combines qualitative and quantitative methods to understand how the project owner‐contractor‐supplier (or owner‐contractor‐specialist) triad behaves. Particularly, it focuses on an economic sector – real estate and construction – that receives less research interest than processing or manufacturing.

scholarly journals Empirical study of measuring supply chain performance

2015 ◽  
Vol 22 (2) ◽  
pp. 290-308 ◽  
Author(s):  
Ilkka Sillanpää
Keyword(s):  
Supply Chain ◽  
Performance Measurement ◽  
Manufacturing Industry ◽  
Case Study Research ◽  
Future Research ◽  
Order Book ◽  
Content Type ◽  
Measurement Framework ◽  
Efficiency And Effectiveness

Purpose – Supply chain (SC) performance measurement – the process of qualifying the efficiency and effectiveness of the SC. The purpose of this paper is to create a SC measurement framework for manufacturing industry, define which data should be measured and verify the measurement framework in the case company’s SC. Design/methodology/approach – There is a review of the current understanding of supply chain management and literature related to SC performance measurement and the study creates a framework for SC measurement. This research is qualitative case study research. Findings – This study presents the main theoretical framework of SC performance measurement. The key elements for the measurement framework were defined as time, profitability, order book analysis and managerial analysis. The measurement framework is tested by measuring case SC performance. Research limitations/implications – In the study, a performance measurement framework was created for the needs of manufacturing industry. Suggestions for future research are multiple case study in different manufacturing industry areas and positivistic-based SC performance research. Practical implications – The measurement framework in this study offers guidelines for measuring the SC in manufacturing industry but the measurement framework could be used in different areas of industry as well. Originality/value – The SC performance measurement framework is tested and a valid framework for SC performance measurement in manufacturing industry.

Supply chain data analytics and supply chain agility: a fuzzy sets (fsQCA) approach

2020 ◽  
Vol 28 (5) ◽  
pp. 1055-1067
Author(s):  
Mohamed Dawood Shamout
Keyword(s):  
Supply Chain ◽  
Fuzzy Sets ◽  
United Arab Emirates ◽  
Data Analytics ◽  
Qualitative Comparative Analysis ◽  
Organizational Outcomes ◽  
Theory And Practice ◽  
Future Research ◽  
Content Type ◽  
Supply Chain Agility

Purpose Practitioners and researchers have reached a consensus that supply chain analytics is a strong determinant for desirable organizational outcomes such as supply chain performance and agility. The purpose of this paper is to examine a configural combination (i.e. causal recipes) subsuming supply chain data analytics, firmsize, age and annual sales to predict supply chain agility based on knowledge-based theory. Design/methodology/approach Survey data (n = 215) were obtained from firms operating in the United Arab Emirates. Consequently, fuzzy sets qualitative comparative analysis (fsQCA) technique was applied to the data to establish causal recipes that are necessary and sufficient to achieve high scores of supply chain agility. Findings Results from fsQCA support the major tenets of complexity theory that several configural combinations (i.e. supply chain data analytics, firm size, firm age and annual sales) are sufficient and necessary conditions for achieving higher scores of supply chain agility. Originality/value This study is first of its kind in understanding the association between supply chain data analytics and agility with fsQCA technique. This research also offers a headway for supply chain managers in identifying configural combinations of antecedents manifesting high scores for supply chain agility. Implications for theory and practice are illustrated as well as future research course.

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