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The ramp-up in humanitarian logistics operations is a stage when the demand surges, often at the start of an emergency. In response, agility is a key strategy used by the humanitarian organizations (HOs). However, the HOs are constrained by their existing resources and have to respond in the ramp-up process under their resource dependency. The purpose of this paper is to develop a framework on agility-building strategies used by HOs for the ramp-up.

This study applies both the dynamic capabilities perspective and resource dependence theory to humanitarian relief operations, and develops four testable propositions to explore the agility-building strategies of the HOs for the ramp-up process. A multiple-case study is conducted on six international HOs operating in Indonesia to verify them, in addition to an extensive literature search.

The case study shows that the human resource management, pre-positioning, standardization and supplier management of the HOs are all related to their resources and environment in the ramp-up process. The authors highlight the practical differences between the few super large, resource rich and centralized HOs with the second-tier HOs.

Given the small sample size and single country as the site of study, some findings may not be applicable to the other HOs or in other regions.

The propositions could be applicable to other HOs operating under similar environments, and potentially to the commercial enterprises operating in a highly volatile environment with severe resource scarcity.

This study provides new insights into ramp-up operations and into how HOs build their agility and reduce their resource dependencies. Theoretically, the paper applies two established theories in the strategic management literature to a new field.

Trust is essential for any team working together. In humanitarian logistics operations, relief organizations often have to work collaboratively in hastily formed networks. Trust in such a context, termed as “swift trust” in the literature, is an important but less explored topic. The purpose of this paper is to empirically explore the antecedents of swift trust as well as its impact on the coordination among the humanitarian workers.

The authors choose the humanitarian workers in Southeast Asia as the research sample. An exploratory survey study is conducted in three Southeast Asian countries, namely, Singapore, Indonesia, and the Philippines, with 89 usable responses.

The empirical results have shown support for most hypotheses. Third-party certification, competency, similarity in procedure standards and organizational values, can all generate swift trust. Moreover, swift trust can lead to greater openness in information sharing for coordination, though not to active assistance. Both coordination activities would lead to greater coordination effectiveness.

Future studies could examine the four antecedent conditions for swift trust with better proxies. The connection between swift trust and coordination effectiveness can be explored in depth.

NGOs and governments could use these means effectively to build swift trust among the humanitarian players. For example, organizing field-oriented training activities would be beneficial for humanitarian workers in both network building and enhancing personal competency.

The findings point to the importance of swift trust in humanitarian operations and identify several means to enhance this trust. It has filled a research gap on the empirical investigation of the antecedents and impact of swift trust on inter-organizational coordination in humanitarian logistics operations.

The purpose of this paper is to provide a decision support framework for locations identification to address network design in the domain of disaster relief supply chains. The solution approach is then applied to a real-life case about Indonesia.

An approach integrating geographic information system technology and fuzzy analytical hierarchy process has been used.

For the Indonesian case, distribution centers should be located in Pekanbaru, Surabaya, Banjarmasin, Ambon, Timika, and Manado.

The main limitation of this work is that facilities being sited are incapacitated. Inclusion of constraints over capacity would elevate the framework to a further level of sophistication, enabling virtual pool of inventory that can be used to adsorb fluctuation in the demand due to disasters.

The use case provided in this paper shows a practical example of applicability for the proposed framework. This study is able to support worldwide decision makers facing challenges related with disaster relief chains resilience. In order to achieve efficiency and effectiveness in relief operations, strategic logistics planning in preparedness is key. Hence, initiatives in disaster preparedness should be enhanced.

It adds value to the previous literature on humanitarian logistics by providing a real-life case study as use case for the proposed methodology. It can guide decision makers in designing resilient humanitarian response, worldwide. Moreover, a combination of recommendations from humanitarian logistics practitioners with established models in facility location sciences provides an interdisciplinary solution to this complex exercise.

In this Industry 4.0 era, third-party logistics (3PL) industries face huge cost pressure to deliver their service. With increase in competition among the players, constant mergers and acquisitions (M&A) have been taking place to sustain competitive advantage. Therefore, this study aims to investigate the growth dynamics among the 3PL service providers.

In this research, the system dynamics methodology was applied to the study of the growth of 3PL industry in Singapore. A population growth model incorporating the predator–prey interaction is developed to account for growth through M&As among 3PLs and their interaction phenomenon are modeled through modified Lotka–Volterra method. The two-species system model consisting of small and medium logistics service providers (SMLSPs as the prey) and the lead logistics providers (LLPs as the predator) are gauged according to the firm size.

Results from the baseline model indicates that Singapore’s logistics industry looks very optimistic for SMLSPs for another 6 years from 2018, while the LLP population will achieve a peak at about 12 years from 2018. Further sensitivity analysis through macroeconomic and microeconomic changes reveals increase in trend of M&As. By varying competitive pressures between firms, results indicate that the LLP population experiences a decreasing rate of increasing SMLSP population falls.

The research provides guidance for logistics and supply chain managers to better understand the critical factors that impact and determine competitive dynamics. The paper further recommends managers to build sustainable logistics strategies to retain competitive advantages.

The research contributes to both economic and social dimensions of logistics sustainability of how resilient the industries are during uncertain conditions. Some of the limitations of this research include the geographic coverage of the study region and other methodological aspects. The research value thus helps policymakers for developing strategic policies for sustainable industrial growth.

In recent years, many firms have rediscovered the importance of scheduling on the shopfloor. Within the manufacturing functions, scheduling remains among the most important and challenging tasks that must be performed routinely. Developing a schedule involves designating the resources needed to execute each operation of the process routeing plan and assigning the times at which each operation in the routeing will start and finish execution. The trend of current scheduling technology is towards a combination of the three common approaches; OR‐based, simulation‐based and AI‐based. Presents a hybrid approach using simulation‐based scheduling and a neural network to solve the detailed scheduling problem. Develops the neural network to analyse the complex information as well as orders coming on the shopfloor, and suggests candidate scheduling rules to the simulation model. The simulation model then uses the rules to schedule the orders on hand. The work is set against a backdrop of a currently operating flexible manufacturing cell.

An increase in business overheads due to the enterprise dynamics is postulated to be a cubic function of the area between the actual response of a company in the supply chain and a theoretical neutral axis, where demand equals supply. Reduction of these dynamics has become critical to the competitiveness of the company and even the whole supply chain. The impact of seven causal factors on the dynamic performance of a generic supply chain simulation with reference to the beer game is studied, guidelines for supply chain re‐engineering in order to reduce such dynamics are provided, and coordination dynamics in networking organizational structure are identified. It is then shown that reduction of coordination dynamics is an alternative solution to structural re‐engineering, e.g. shortening manufacturing and transport lead times. Explores the dynamic performance of both centralized and decentralized coordination mechanisms and proposes that there is no essential difference in performance; the latter is more flexible and allows for autonomy of different companies if it is well coordinated. Finally, proposes a decentralized coordination method by using a market mechanism.

As humanitarian organizations often operate in highly volatile environments, a good understanding of their learning mechanisms would improve the knowledge acquisition and retention in these organizations, and complement the formal logistics education and training for their relief staff. The paper explores the following research question: what learning mechanisms are used by humanitarian organizations to acquire sufficient knowledge for their logistics operations.

The paper opts for a theoretical study based on the existing literature. We apply organizational learning theory to examine the learning process and mechanisms of humanitarian organizations. An actual case is used to validate the findings.

The study develops a theoretical framework for the learning mechanism of humanitarian organizations, and reports four learning mechanisms: learning by hiring, learning by doing, learning by observing, and learning by searching. Five propositions are proposed for empirical validation.

Because of the theoretical nature of the study, the research is still an exploratory one. The organization learning literature employed is not comprehensive. Researchers are encouraged to test the proposed propositions further.

The paper includes implications for humanitarian organization to better manage their learning processes, improve the effectiveness of their knowledge management, and benefit more disaster-affected people.

This paper fills a gap in the learning processes and knowledge management of humanitarian organizations.

The purpose of this paper is to study the process, network, skills and practices of service parts logistics organizations in the Asia Pacific region. Specifically, it attempts to propose a new framework for service parts logistics management based on interview inputs from several leading automotive and aerospace companies. This paper also seeks to identify the trends and opportunities for service parts logistics in Singapore.

Companies from aerospace and automotive industries involved in service logistics activities were involved in the study. Data were obtained primarily through interviews with key executives of the company.

This paper summarizes some of the industry findings on service parts logistics in the Asia Pacific region. To succeed in the service logistics business, companies should not focus on cost factors alone. Instead, companies should adopt the proposed framework and look into other factors.

The research is limited to companies in the aerospace and automotive industries only.

This framework was drawn from industry inputs and can be easily applied in decision making.

The paper provides a new framework to assist decision makers in deciding where a company should locate its service part logistics hub.

Remanufacturing is a process whereby value from old products is recovered by replacing and recovering used components to bring such products to a new or like-new state. Today, both original equipment manufacturers (OEMs) and third parties are engaged in remanufacturing activities, investing in many locations throughout Asia. The purpose of this paper is to examine the reasons for initiating remanufacturing activities as well as the location determinants for the remanufacturing sector in Asia.

The authors conduct a multiple case study. Triangulation is applied to gain objective views from interviewing three OEMs, one logistics firm, and three local small enterprises. Real options theory is the theoretical lens used to examine the location choice of the OEMs.

Firms engaged in remanufacturing tend to co-locate facilities with existing manufacturing facilities, and those investing in new sites for remanufacturing view the regulatory environment as the most important factor. OEMs tend to leverage on existing manufacturing facilities or third-party remanufacturers to reduce their cost of commitment when starting remanufacturing at new locations.

The sample size is still small for the generalization of the results. Further empirical study is needed to test the propositions from this paper.

This paper could assist managers and decision makers in the multinational corporations to design appropriate logistics-related solutions for remanufacturing in Asia.

The authors work contributes to the theory on remanufacturing location determinants. It shows that OEMs and third-party remanufacturers can have a collaborative relationship instead of the commonly assumed competitive one, which is currently not found in the literature.

In humanitarian logistics operations, performance measurement is crucial for effective operation. The purpose of this paper is to develop a set of indicators for humanitarian relief organizations (HROs) for their organizational-level logistics operations.

The authors applied the supply chain operations reference (SCOR) framework to the context of humanitarian supply chains. By taking a bottom-up approach with the support of a large HRO, the authors identified the most important metrics through examining its supply chain processes. The initial metrics are then validated by seven HROs to ensure their applicability in humanitarian logistics operations.

A hierarchical benchmarking framework is proposed, and a set of 26 metrics is identified. The validation of these metrics supports the initial work with all metrics deemed important. It also highlights the implementation difficulty as only five indicators are readily available. The authors further suggested the automation of key logistics processes, which would significantly increase the number of implementable metrics to 14.

The sample size of the validation is small, and the last mile delivery is not covered by the metrics.

With these performance metrics, HROs are able to monitor their logistics performance better with processed-based measures, which may lead to their policy and process adjustments for performance improvement.

The work contributes to performance measurement in humanitarian logistics with a framework of a generic metrics set. The validation result is also original to reveal the state of performance measurement on the ground.