Search results

This study evaluated the influence of the coronavirus pandemic on the healthcare and non-cold pharmaceutical care distribution supply chain.

The model involves four objective functions to minimize the total costs, environmental impacts, lead time and the probability of a healthcare provider being infected by a sick person was developed. An improved version of the augmented e-constraint method was applied to solve the proposed model for a case study of a distribution company to show the effectiveness of the proposed model. A sensitivity analysis was conducted to identify the sensitive parameters. Finally, two robust models were developed to overcome the innate uncertainty of sensitive parameters.

The result demonstrated a significant reduction in total costs, environmental impacts, lead time and probability of a healthcare worker being infected from a sick person by 40%, 30%, 75% and 54%, respectively, under the coronavirus pandemic compared to the normal condition. It should be noted that decreasing lead time and disease infection rate could reduce mortality and promote the model's effectiveness.

Implementing this model could assist the healthcare and pharmaceutical distributors to make more informed decisions to minimize the cost, lead time, environmental impacts and enhance their supply chain resiliency.

This study introduced an objective function to consider the coronavirus infection rates among the healthcare workers impacted by the pharmaceutical/healthcare products supply chain. This study considered both economic and environmental consequences caused by the coronavirus pandemic condition, which occurred on a significantly larger scale than past pandemic and epidemic crises.

The food industry and its distribution solutions often lie at the center of sustainability-related arguments. However, little is known about the dynamic role of business capabilities for sustainable transformations in the context of local food distribution. Accordingly, this study aims to investigate how dynamic capabilities drive sustainable supply chain management (SSCM) business practices in short food supply chains (SFSCs) through the professionalization and expansion of online distribution channels.

The present study analyzes sustainability-related practices at six online distribution channels selling local food products in Germany and Austria. By applying a cross-case study and theory-elaboration approach, the study analyzes empirical data derived from these businesses and provides insights into how dynamic capabilities can facilitate SSCM practices within SFSCs. Hereby, potential pathways for a sustainable transformation in this industry context are deduced through abductive reasoning.

The empirical findings provide evidence that supply chain orientation, coordination, innovation practices and strategies are highly relevant for SFSCs seeking to reach upscaling effects in regional markets. However, because SFSCs may not be able to reach mass markets without weakening their own sustainability performance, the present study recommends addressing sustainability inefficiencies in the region and developing further expansion potentials through replication in other regions. In this approach, related and necessary SSCM dynamic capabilities were identified and validated based on the empirical findings.

Although SFSCs include sustainability aspects at their core – particularly regarding resource usage, environmental friendliness and social-standard assurance – missing distribution-related capabilities limit growth such that these businesses often remain in a niche. To address this issue, the study builds on dynamic capabilities theory by identifying and describing core SSCM practices and capabilities; moreover, this study is among the first to elaborate empirically on the use of dynamic capabilities theory in this specific industry context.

The purpose of this paper is to identify the critical distribution practices of agile supply chains and provide a comprehensive framework that can be used to improve the responsiveness of supply chains. The research is carried out in the context of different manufacturing industries and provides empirical evidence that agile supply chain distribution enhances organisational performance.

The paper employed survey research, using a sample of 128 manufacturing companies.

The paper explores the critical distribution practices of supply chains that make supply chains agile. Collaborative distribution, order commitment, distribution flexibility and inventory management are the key SCM distribution practices associated with agile supply chains, and have significant impact on organisational performance.

Data were collected from a single node/respondent of a supply chain. Further research could be carried out using mutiple node data of each supply chain to make the research more meaningful and generalisable.

The findings may be used to gauge the competitive capabilities of SCM distribution and to guide organisations to measure and improve supply chain responsiveness and organisational performance.

The paper provides evidence regarding the impact of the critical distribution practices of agile supply chains on performnace.

This study explores the influencing factors affecting smart supply chain innovation (SSCI) performance of commodity distribution enterprises, and proposes the corresponding framework from the perspective of the application of technology to improve the SSCI performance and make up the research gap in this field.

A multi-case study method is adopted in this study. Four distribution commodity distribution enterprises A, B, C and D in China are chosen as case enterprises. The interviews with senior management team members are used to collect data. The combination of open coding and axial coding are used to process the data. By testing the reliability and validity, the theoretical framework is summarized.

First, we find that the technology application cost inhibits SSCI and that the level of technology suitable for enterprise development will promote SSCI. Second, SSCI in structure, management and services can improve the performance and innovation ability of enterprises. Third, the quality of multi-channel integration and degree of customization around customer demand can significantly modify the above effects.

Compared with previous studies, this study reveals for the first time the correlation between the SSCI performance and technology application, SSCI in structure, management and service, providing new ideas for relevant researches on SSCI, and providing new theoretical support for managers' decision-making related to SSCI.

The main purpose of this paper is to document the research on development of a conceptual framework for the supply chain. The aims of the research were to develop an integrated framework, and to provide a methodology for planning of many components in the supply chain such as suppliers, materials, resources, warehouses, activities and customers. The proposed framework is based on the unitary structuring technique where bills of materials, bills of warehouses, project networks and operations routings, in both manufacturing and distribution networks, are combined into a single structure.

The framework is described along with illustrated numerical examples in the manufacturing and distribution environments.

The numerical testing has shown that each network in the supply chain provides an integrated approach to planning and execution of many components, and is capable of providing visibility, flexibility and maintainability for further improvement in the supply chain environment.

The framework and planning approach developed in this research are new in the area of supply chain management and provide a foundation for planning, control and execution in supply chain in various industries.

The purpose of this paper is to evaluate and understand the factors that contribute to the enhancement in the process of supply chain activities, specifically among manufacturing industries.

This paper follows the quantitative approach by disseminating a structured questionnaire to supply chain practitioners working in manufacturing industries. A sample of 109 responses is gathered from senior employees involved in sales and operations planning. Exploratory and confirmatory factor analyses are performed to evaluate the reliability and validity of the model. Lastly, SmartPLS is used to test the hypotheses proposed in the study.

The findings revealed that demand sensing and managing practices positively impact supply chain performance by creating dynamic distribution capabilities. It is observed that distribution capabilities integrate both efficient and effective handling of resources. However, demand management practice has insignificant relationship with supply chain performance.

The authors suggest that supply chain management must expand in firms, and importance must be given as supply chain performance can provide competitive advantage in order to sustain in today's competitive market.

The findings can help decision-makers working in the planning process by identifying the right tools to sense the market and react accordingly.

This paper is an initial effort to understand the dynamic distribution capabilities by establishing the link with the studied variables, especially in the manufacturing industries in Pakistan.

As an effective mode to help small and medium enterprises (SMEs) raise working capital, supply chain finance has recently gained extensive attention. The purpose of this paper is to explore the intrinsic mechanism of how both weak and strong ties in the supply chain network impact the supply chain financing performance (SCFP) of SMEs from the perspective of the supply chain network.

Based on the extended resource-based perspective, this paper proposes a theoretical model to explain the mode in which strong ties and weak ties of SMEs in the supply chain network influence SCFP through both physical distribution flexibility and demand management flexibility. Based on data from 182 manufacturing firms in China, this paper uses multiple regression analysis to test hypotheses.

The results of this paper indicate that weak ties improve SCFP more effectively than strong ties. Furthermore, both physical distribution flexibility and demand management flexibility exert different mediating roles either between strong ties and SCFP or between weak ties and SCFP. Moreover, the effect of physical distribution flexibility and demand management flexibility on SCFP of SMEs is not reinforced.

This paper highlights the importance to expand supply chain finance research from the perspective of the supply chain network. In particular, this paper explores the poorly understood mediating effect both physical distribution flexibility and demand management flexibility exert on the relationship between network ties and the SCFP of SMEs.

The purpose of this paper is to attempt to realize a distribution network optimization in supply chain using grey systems theory for uncertain information.

There is much uncertain information in the distribution network optimization of supply chain, including fuzzy information, stochastic information and grey information, etc. Fuzzy information and stochastic information have been studied in supply chain, however grey information of the supply chain has not been covered. In the distribution problem of supply chain, grey demands are taken into account. Then, a mathematics model with grey demands has been constructed, and it can be transformed into a grey chance‐constrained programming model, grey simulation and a proposed hybrid particle swarm optimization are combined to resolve it. An example is also computed in the last part of the paper.

The results are convincing: not only that grey system theory can be used to deal with grey uncertain information about distribution of supply chain, but grey chance‐constrained programming, grey simulation and particle swarm optimization can be combined to resolve the grey model.

The method exposed in the paper can be used to deal with distribution problems with grey information in the supply chain, and network optimization results with a grey uncertain factor could be helpful for supply chain efficiency and practicability.

The paper succeeds in realising both a constructed model of the distribution of supply chain with grey demands and a solution algorithm of the grey mathematics model by using one of the newest developed theories: grey systems theory.

The purpose of this paper is to model the distribution stage of the public distribution system (PDS) and optimize the inventory policy during this stage of the PDS to address some of the inefficiencies present in the system. This study models this supply chain as a multistage supply chain consisting of storage depots, issue centers, fair price shops and card holders.

A two-stage modeling approach is used to model the distribution stage in the PDS. In the first stage, the authors developed a simulation model for periodic review-based stock policy with appropriate assumptions. This helped minimize the total supply chain cost (TSCC). The TSCC consists of three cost elements, namely, ordering cost, holding cost and shortage cost. These three cost elements, in turn, depend on inventory policy parameters, such as review periods and base stock levels, at various echelons. In the second stage, a Genetic Algorithm based optimization approach was used.

A set of optimal policy parameters was identified. It is observed that base stock levels at issue centers are higher as compared to those in the FPS and the TSCC is less in scenario, when backorder cost is equal to the holding cost.

Present study will be useful to policy makers in improving PDS performance. This optimization of inventory policies helps actors in the PDS supply chain to choose appropriate policy parameters in the present inventory policy so as to reduce the overall distribution cost.

Unlike the previous researchers who examined the PDS from the social security perspective and tried to address specific problems to improve functioning of the PDS, this study looked at the problem as a supply chain-related problem and optimized the inventory parameters in one of the subsets of the PDS supply chain.

Background: The study focuses on the challenges encountered during the distribution of food and face-mask items during the first COVID-19 lock-down by various relief supply chain actors.

Methods: Data were collected from forty (40) relief actors through online (via Zoom and telephones) and face-to-face interviews, between January 2021 to March 2021. Data was coded based on per-determined themes after which it was further processed using Atlas ti. v7.57 to generate patterns.

Results: The study established challenges related to needs identification, procurement, warehousing, transportation, handling, beneficiary verification, and last-mile distribution. Additionally, the media and politics coupled with the emergence of new actors and governance issues were part of the challenges identified.

Conclusions: The identified challenges were internal and external to the relief supply chain; hence actors could have control over some while others were beyond their control. The findings could inform practitioners and policymakers on what challenges are likely to affect their operations, especially during a pandemic, and design appropriate coping mechanisms.