Agility and Responsiveness Capabilities: Impact on Supply Chain Performance

This paper focuses on exploring the mediation role of supply chain responsiveness, supply chain agility, and supply chain performance link through a multi-disciplinary review of the relevant research. The systematic literature review aims to provide the basis for formulating a conceptual framework of the relationships. A systematic comprehensive review of the literature on supply chain agility, supply chain responsiveness, and supply chain performance was conducted. The dynamic capabilities perspective literature was also examined to identify the theoretical basis for the contribution of supply chain agility in improving supply chain performance by reconfiguring supply chain responsiveness. The supply chain agility has been mainly explored in the literature with emphasis on the dimensions of the concept. The role of the supply chain agility, as a dynamic capability, in the reconfiguration of the supply chain responsiveness is seen in its quality of operational capability and, consequently, in the improvement of the performance of the supply chain in general

Interrelationship Performance Indicators Model of Agile Supply Chain Management in Palm Oil Industry

This paper tries to model agile supply chain management performance indicators in the palm oil industry. The interpretative Structural Modeling (ISM) method is used to find the relationship between these indicators. The ISM stages begin with identifying indicators, compiling contextual relationships, compiling reachability matrices, compiling level partitions, compiling digraphs, and compiling ISM models. Then MICMAC analysis is used to group each of these indicators into four categories based on their driving power and dependence power. In this study, 16 hands of agile supply chain management in the palm oil industry were obtained, of which the four-level ISM  model could be constructed. Two indicators are at level 4, six hands are at level 3, three indicators are at level 2, and five indicators are at level 1. Meanwhile, through MICMAC analysis, five indicators are found in the independent indicators category, six hands are in the linkage indicator category, four indicators are included in the dependent indicator category, and one indicator is in the autonomous indicator category. This research can be used by managers in the palm oil industry who want to increase agility in their supply chain. In general, indicators at level 4 can affect indicators at level 3, and so on. So that management can start fixing the indicators at level 4 first. In addition, indicators that have a driving power value in MICMAC analysis can be prioritized to improve their performance

A Review of Supply Chain Data Mining Publications

The use of data mining in supply chains is growing, and covers almost all aspects of supply chain management. A framework of supply chain analytics is used to classify data mining publications reported in supply chain management academic literature. Scholarly articles were identified using SCOPUS and EBSCO Business search engines. Articles were classified by supply chain function. Additional papers reflecting technology, to include RFID use and text analysis were separately reviewed. The paper concludes with discussion of potential research issues and outlook for future development

New Approaches for Modeling and Evaluating Agility in Integrated Supply Chains

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A review of lean and agile management in humanitarian supply chains: analysing the pre-disaster and post-disaster phases and future directions

Disasters have quadrupled over the last two decades leading to unprecedented loss of life. The objective of disaster-focussed humanitarian supply chains (HSCs) is to ensure saving maximum lives with limited resources; despite severe uncertainties. Therefore, significant research has investigated lean and agile in HSCs; to effectively source and speedily deploy resources, with minimum wastage; in each disaster life-cycle phase. However, the literature and research findings are currently highly disjointed regarding how lean and agile principles may be aligned with different HSC activities in the disaster management lifecycle; and do not provide a collective understanding for practitioners and researchers. This paper reviews and organises the literature on HSCs in relation to lean and agile paradigms, focussing on the pre-disaster (mitigation and preparedness) and post-disaster (response and recovery) phases. Findings reveal, all phases benefit from both lean and agile, with agile benefitting the response phase most. The phases are inter-dependent and identifying optimum decoupling points for lean and agile principles are crucial. Majority research has focussed on individual or a couple of phases. Therefore, authors recommend research on integrating the functions of the different phases by employing lean and agile principles, to generate rapid response, economies of scale and cost minimisation

Identification of Critical Factors and Their Interrelationships to Design Agile Supply Chain : Special Focus to Oil and Gas Industries

Purpose – This research attempted to identify the most critical factors and their inter-relationships to ensure designing agile supply chain, especially in oil and gas industry. This factors identification process is performed through developing a conceptual framework and the use of Interpretive Structural Modelling (ISM) tool. Design/methodology/approach – This study is conducted through an extensive literature review and questionnaires survey to identify and refine the critical factors that ensure the agile supply chain in oil and gas industry. In addition, several brainstorming sessions with the experts in the field of oil and gas industries were organized with the objective to interpret the contextual inter-relationships between the identified factors. The outcomes from the literature reviews, interview questions and experts’ opinions were used to develop a diagraph and MICMAC analysis to know the drivers of agility in supply chain. Findings –From this study, 34 enablers and 12 factors were identified, which are responsible to ensure agile supply chain in oil and gas industry. Out of these identified factors, top management commitment, strategic alignment, competency of management and integration of information and systems technology are found to be the critical drivers of supply chain agility. On the other hand, government regulations, transportation and logistics flexibility and production planning and control falls under the category of dependent factors. Originality/value – The identified factors and their interrelationships can be a valuable aid to ensure and measure the agility in supply chain, especially in oil and gas industry. These identified factors and their defined consequences will help managers and concerned authorities in oil and gas industry to take better decision to improve the agility level of their supply chain.©2020 Springer Nature. This is a post-peer-review, pre-copyedit version of an article published in Global Journal of Flexible Systems Management. The final authenticated version is available online at: http://dx.doi.org/10.1007/s40171-020-00247-5fi=vertaisarvioitu|en=peerReviewed

A relational study of supply chain agility, competitiveness and business performance in the oil and gas industry

This paper assesses the link between dimensions of agile supply chain, competitive objectives and business performance in the UK North Sea upstream oil and gas industry. A questionnaire was designed and administered covering important criteria of agility identified from the literature. The questionnaire was sent to a sample of 880 supply chain managers within the UK oil and gas industry and a net response rate of 17.8% was achieved. Statistical tests for validity and reliability were carried out. Also, the KS statistical test for normality was undertaken on the data. All the tests affirm that the data came from a normal distribution. Non-response bias analysis was conducted through wave analysis using one-way ANOVA and no statistically significant difference was revealed by the t-test result. By examining the whole supply chain associated with agile practices in an important sector, the paper identifies the most important dimensions and attributes of supply chain agility and provides a deeper insight into those characteristics of agility that are most relevant within the oil and gas industry

Humanitarian Logistics: Shipping Designs for the Post Disaster Cargo Surge

In 2017 Hurricane Maria devastated Puerto Rico. The humanitarian aid community scrambled a response to support the 3.4 million people affected by the disaster. In response, thousands of shipping containers filled with supplies were sent to the island. Numerous reports surfaced regarding significant delays in receiving the shipments. This research reviews the historical account of cargo throughput into Puerto Rico following Maria. A computer simulation built in ARENA compares various what-if scenarios based on empirically collected data and interviews with FEMA, port authorities, and commercial cargo carriers to determine how the humanitarian supply chain could improve for future disaster planning. An additional goal of this research is to better inform humanitarian logisticians who must balance near-term disaster response demands with long term recovery concerns