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The purpose of this paper is to provide insight on high-interest areas of research in defense-related logistics and supply chain management and opportunities for advancing theory and practice in this domain.

A panel of experts provided their insight to several questions oriented toward examining research opportunities and gaps in defense logistics research at the 2018 Academic Research Symposium of the Council of Supply Chain Management Professionals annual conference on September 30, 2018.

Three overarching themes emerged from the panel discussion for advancing theory and practice in defense logistics and supply chain management, which are developing a central repository, creating publication opportunities and integrating research practice and knowledge with the greater academic community.

Logistics and supply chain research is critical for advancing knowledge and practice in the military, as well as industrial settings. The intention in this manuscript is to provide scholars and practitioners in both settings greater awareness and potential avenues for developing synergies and processes for advancing logistics and supply chain research.

The purpose of this paper is to review the literature on logistics and supply chain costs to provide an analysis of sources of publication, citations and authorship using bibliometric analysis techniques (VOSviewer and CitNetExplorer tools).

A review of 756 articles published during the period 2014 to 2019 referenced in the Scopus database was performed. The review was limited to articles published in English and directly related to logistics and supply chain costs.

The research identified more than 2,000 authors representing more than 5,000 keywords and 10,000 references from a total of 155 journals investigated. A critical synthesis of the resulting data revealed several insights about various aspects of studies in this field. For instance, the review identified a scarcity of academic publications in three key areas, namely “supply chain,” “optimization” and “transportation”, which are concepts focused on the total supply chain.

This research highlights important areas of attention for both researchers and practitioners considering costs associated with logistics and supply chain operations and strategies. The results can also help identify thematic areas, journals and topics for future research. The paper identifies and proposes research areas to contribute to the literature when challenges to investigating logistics and supply chain costs are discussed.

This study aims to explore the viability of using C-17 reduced-engine taxi procedures from a cost savings and capability perspective.

This study model expected engine fuel flow based on the number of operational engines, aircraft gross weight (GW) and average aircraft groundspeed. Using this model, the research executes a cost savings simulation estimating the expected annual savings produced by the proposed taxi methodology. Operational and safety risks are also considered.

The results indicate that significant fuel and costs savings are available via the employment of reduced-engine taxi procedures. On an annual basis, the mobility air force has the capacity to save approximately 1.18 million gallons of jet fuel per year ($2.66m in annual fuel costs at current rates) without significant risk to operations. The two-engine taxi methodology has the ability to generate capable taxi thrust for a maximum GW C-17 with nearly zero risks.

This research was limited to C-17 procedures and efficiency improvements specifically, although it suggests that other military aircraft could benefit from these findings as is evident in the commercial airline industry.

This research recommends coordination with the original equipment manufacturer to rework checklists and flight manuals, development of a fleet-wide training program and evaluation of future aircraft recapitalization requirements intended to exploit and maximize aircraft surface operation savings.

If implemented, the proposed changes would benefit the society as government resources could be spent elsewhere and the impact on the environment would be reduced. This research conducted a rigorous analysis of the suitability of implementing a civilian airline’s best practice into US Air Force operations.

This invited article explores current developments in supply chain risk management (SCRM) practices by revisiting the classical case of Ericsson (Norrman and Jansson, 2004) after 15 years, and updating its case description and analysis of its organizational structure, processes and tools for SCRM.

An exploratory case study is conducted with a longitudinal focus, aiming to understand both proactive and reactive SCRM practices using a holistic perspective of a real-life example.

The study demonstrates how Ericsson's SCRM practices have developed, indicating that improved functional capabilities are increasingly combined across silos and leveraged by formalized learning processes. Important enablers are IT capabilities, a fine-grained and cross-functional organization, and a focus on monitoring and compliance. Major developments in SCRM are often triggered by incidents, but also by requirements from external stakeholders and new corporate leaders actively focusing on SCRM and related activities.

Relevant areas for future research are proposed, thereby increasing the knowledge of how companies can develop SCRM practices and capabilities further.

Being one of few in-depth holistic case studies of SCRM, decision-makers can learn about many practices and tools. Of special interest is the detailed description of how Ericsson reactively responded to the Fukushima incident (2011), and how it proactively engaged in monitoring and assessment activities. It is also exemplified how SCRM practices could continuously be developed to make them “stick” to the organization, even in stable times.

This is one of the first case studies to delve deeper into the development of SCRM practices through taking a longitudinal approach.

Discussion regarding the implications of and antecedents to the decision to outsource manufacturing functions has dominated both the academic literature and popular press for over 30 years. However, economic and competitive landscapes across the globe have changed such that the tenability of outsourcing is being re-evaluated by many organizations. Using the rich body of literature regarding the decision to outsource as a starting point, the purpose of this paper is to investigate the reasons why firms insource and the associated implications thereof.

This case study research captures data from 12 firms in the manufacturing industry that have insourced a previously outsourced function. Data were collected via interviews with executives, researcher observations, and archival records over a nine-month period.

The findings suggest that the primary drivers for insourcing were predominantly the same as those cited for outsourcing. However, insourcing decisions are often made in response to a specific, external trigger event and not necessarily in concert with long-term, strategic goals. This is in contrast to firms’ desires to make more strategic location decisions. The findings also show that insourcing/outsourcing location decisions require continuous evaluation in order to optimize competitiveness and align with long-term firm goals.

This research contributes by not only assimilating and gaining an understanding of key factors affecting insourcing decisions, but also by establishing a baseline for future investigation into this burgeoning area via the presentation of testable propositions.

This paper provides insights for supply chain, logistics, and operations management professionals who seek to better understand the critical factors that should be considered when deciding whether or not to insource.

The benefits of insourcing are being considered to a greater extent across industry, yet there is a dearth of academic or practitioner literature that business leaders and academicians can use as the basis for examining this decision. This research provides both the basis and motivation for developing knowledge in this area of increasing importance.

The purpose of this study is to investigate the relationship between work values (WV) and expectations in terms of job quality (JQ) and workplace communication environment (WCE) of undergraduate students. Whether there are significant differences in terms of WV, JQ and WCE among cultural and demographic variables was also assessed.

A survey of 795 undergraduate students in China, Thailand and United Arab Emirates was conducted. Structural equation modeling and a series of one-way analysis of variance tests was carried out.

WV have significant effects on JQ expectations and WCE. This study identifies extrinsic values as the most important WV of the future job market entrants. There are differences in culture, gender and work experience between the three samples in the variables under investigation.

The study relied on the self-reported responses in one university in each site. Data on the undergraduate students’ major and academic performance was not collected.

Job seekers are more likely to choose jobs and WCE that are similar to their personal work value orientation. The study underscores the importance of WV as important motivators in the workplace.

This study is the first to compare the WV, JQ and WCE across multiple nations. The study underscores the importance of JQ and WCE as important motivators in the workplace.

This paper proposes optimisation models to evaluate and examine the selling of extended warranty policies in terms of improved profits in producing/marketing remanufactured products. These models are numerically solved using a quadratic programming solution approach and implemented in the decision support system (DSS).

The purpose of this paper is to develop the optimisation models for a DSS and evaluate different warranty policies for buyers.

This study has demonstrated the flexibility and usefulness of a model-driven DSS for the quality and warranty management, which is applied to examine and evaluate different configurations (i.e. component reuse, rebuild and recycle) for remanufactured products and propose the selling of extended warranty policies for buyers.

The developed model-driven DSS can assist manufacturers to select and increase the number of components, e.g. to be reused, rebuilt, and recycled for producing a remanufactured product and propose suitable warranty policies for buyers. However, this study focusses only on the evaluation of warranty policies for specific remanufactured products in a DSS, i.e. types of air compressors for production operations in manufacturing industry.

This study developed optimisation models to be used in a DSS for proposing the selling of extended warranty of a remanufactured product to improve customer satisfaction and maximise the gained profits for manufacturers.

Industry 4.0 has been one of the most topics of interest by researches and practitioners in recent years. Then, researches which bring new insights related to the subjects linked to the Industry 4.0 become relevant to support Industry 4.0's initiatives as well as for the deployment of new research works. Considering “organizational learning” as one of the most crucial subjects in this new context, this article aims to identify dimensions present in the literature regarding the relation between organizational learning and Industry 4.0 seeking to clarify how learning can be understood into the context of the fourth industrial revolution. In addition, future research directions are presented as well.

This study is based on a systematic literature review that covers Industry 4.0 and organizational learning based on publications made from 2012, when the topic of Industry 4.0 was coined in Germany, using data basis Web of Science and Google Scholar. Also, NVivo software was used in order to identify keywords and the respective dimensions and constructs found out on this research.

Nine dimensions were identified between organizational learning and Industry 4.0. These include management, Industry 4.0, general industry, technology, sustainability, application, interaction between industry and the academia, education and training and competency and skills. These dimensions may be viewed in three main constructs which are essentially in order to understand and manage learning in Industry 4.0's programs. They are: learning development, Industry 4.0 structure and technology Adoption.

Even though there are relatively few publications that have studied the relationship between organizational learning and Industry 4.0, this article makes a material contribution to both the theory in relation to Industry 4.0 and the theory of learning - for its unprecedented nature, introducing the dimensions comprising this relation as well as possible future research directions encouraging empirical researches.

This article identifies the thematic dimensions relative to Industry 4.0 and organizational learning. The understanding of this relation has a relevant contribution to professionals acting in the field of organizational learning and Industry 4.0 in the sense of affording an adequate deployment of these elements by organizations.

This article is unique for filling a gap in the academic literature in terms of understanding the relation between organizational learning and Industry 4.0. The article also provides future research directions on learning within the context of Industry 4.0.