Search results

The purpose of this paper is to overview carefully selected existing literature to enable further analysis directly concerned with facilities management (FM) supply chain structure, components, strategic issues, challenges and risk. Following the key aspects of assembly, design and, most importantly, management of FM supply chain are explored so that a guidance design framework can be put forward.

This paper examines the optimum technique that can be applied by clients and FM service providers where FM functions are outsourced. The paper initially defines the network structure of the FM supply chain and then suggests a conceptual model for making decisions about FM supply chain network at the strategy level. Furthermore, the paper argues for both supply chain design and for critical node micro management in a transparent supply chain environment with the FM acting as the strategic lens through which the focus of the supply chain is achieved.

This paper presents a process for designing and making decisions of FM service supply chain network. The process begins with an examination of the needs of facility services. It is followed by the step of identifying available options in delivering and processing the services. The third stage involves modelling structures of FM supply chain network. Then to make a final decision, all possible models have to be evaluated for their optimisation, both quantitative (cost) and qualitative (performance). At the end, the model with best optimisation should be selected.

This paper proposes a conceptual framework for designing facility service supply chain strategy and configuration to fit with the specific nature of facility service demand of a given organisation. The framework, featuring a set of processes including examining demand nature, identifying options available and analysing options, is first aimed at providing an assisting tool in identifying optimum supply chain network/solution of facility services and, second, intends to stimulate further discussions on this continuously evolving and challenging market.

Embracing circular economy principles in integrating supply chain networks is pivotal for firms navigating the complex terrain of Industry 4.0, as it addresses the urgent need for sustainable competitive advantage in the rapidly evolving service design landscape. Moreover, promoting responsible consumption and production practices within these networks ensures the efficient use of resources, minimizing waste and environmental impact while fostering long-term sustainability.

This study emphasizes the integration of design thinking principles as a strategic response to the challenges posed by emerging design systems in Industry 4.0, with a focus on effectively meeting user requirements and managing competitive pressures within circular supply chain strategies.

An empirical study validates the impact of the ROCKET model, utilizing data mining to uncover the underlying patterns of thought and action among participants, thereby providing insights into facilitating a circular supply chain strategy. The findings present a robust framework and identify key motivational factors from a project management perspective, specifically tailored for young innovators. The study underscores the importance of effectively integrating supply chain networks, not only to enhance collaborative experiences but also to empower innovators to develop operational protocols aligned with the ROCKET model, thus advancing the circular economy agenda within the Industry 4.0 landscape.

Leveraging design thinking, widely recognized for its versatility and pivotal role in fostering innovation, this research investigates the cognitive frameworks and mindsets that drive the innovation journey and its outcomes. Despite its potential, a noticeable gap between experienced design professionals and novices can result in prolonged R&D timelines, quality control issues and resource allocation challenges, which impede effective supply chain integration. To address this gap, the study introduces the ROCKET model, inspired by motivational strategies to support innovation management, with a particular emphasis on integrating supply chain networks to promote a circular economy within the Industry 4.0 context.

Supply chain risk management can effectively reduce the loss of retailers. In this regard, retailers need to consider the competition risks of competitors in addition to the disruption risks. This paper designs a resilient retail supply chain network for perishable foods under the dynamic competition to maximize retailer's profits.

A two-stage mixed-integer non-linear model is presented for designing the supply chain network. In the first stage, an equilibrium model that considers the characteristics of perishable foods is developed. In the second stage, a mixed integer non-linear programming model is presented to deal with the strategic decisions. Finally, an efficient memetic algorithm is designed to deal with large-scale problems.

The optimal the selection of suppliers, distribution centers and the order allocation are found among the supply chain entities. Considering the perishability of agri-food products, the equilibrium retail price and selling quantity are determined. Through a numerical example, the optimal inventory period under different maximum shelf life and the impact of three resilient strategies on retailer's profit, selling price and selling quantity are analyzed.

As for future research, the research can be extended in a number of directions. First, this paper studies the retail supply chain network design problem under competition among retailers. It can be an interesting direction to consider retailers competing with suppliers. Second, the authors can try to linearize the non-linear model and solve the large-scale integer programming problem by exact algorithm. Finally, the freshness of perishable foods gradually declines linearly to zero as the maximum shelf life approaches, and it would be a meaningful attempt to consider the freshness of perishable foods declines exponentially.

This paper innovatively designs the resilient supply chain network for perishable foods under dynamic competition. The retailer's dynamic competition and resilient strategies are considered simultaneously when designing supply chain network for perishable foods. In addition, this paper gives insights into how to obtain the optimal inventory period and compare the retailer's resilient strategies.

The purpose of this paper is to systematically review the extant literature on the relationship between product architectures and supply chain design to identify gaps in the literature and identify future research opportunities.

This paper examines the peer-reviewed literature on product architectures and supply chain written in English. The search strategy is based on selected databases and keywords. In total, 56 articles from 1995 to 2013 were identified.

Three key dimensions are identified for the categorization of the literature: the type of product architecture, the type of supply chain and the research methodology. Furthermore, we identify themes related to outsourcing, supplier selection, supplier relationships, distance from focal firm and alignment.

The present search strategy may have missed some references that are related to the area. However, as a counter-measure, we used back-tracking and forward-tracking to identify additional relevant papers. A research agenda is proposed for further research on the interaction of product architectures and supply chain design.

This paper is, to the best of the authors’ knowledge, the first broad review that investigates the interrelationship between product architectures and supply chain design.

The aim of this research was to call attention to the implementation of failure mode and effects analysis (FMEA) in a collaborative environment, the issues occurred in the implementation process, and a tool that can be used by all parties in a collaborative environment for FMEA process.

The discussion includes the procedure of an integrated FMEA approach, how to implement the procedure in a supply chain, and the common problems occurred in its implementation in automotive industry under a collaborative environment.

The research provided an example of inconsistency in the ranking of severity, occurrence, and detection to show that the inconsistency may delay FMEA implementation in a supply chain.

This study offered guidelines for manufacturing industry in correcting the problems in FMEA applications, so companies can adopt their FMEA process into a collaborative supply chain environment. This paper also demonstrated a Microsoft EXCEL‐based tool that can ease the FMEA process in a collaborative environment for determining sampling size, reliability and confidence level for tests in design verification and control plan as a part of integrated FMEA process.

Supply chains must rebuild for resilience to respond to challenges posed by systemwide disruptions. Unlike past disruptions that were narrow in impact and short-term in duration, the Covid pandemic presented a systemic disruption and revealed shortcomings in responses. This study outlines an approach to rebuilding supply chains for resilience, integrating innovation in areas critical to supply chain management.

The study is based on extensive debates among the authors and their peers. The authors focus on three areas deemed fundamental to supply chain resilience: (1) forecasting, the starting point of supply chain planning, (2) the practices of supply chain risk management and (3) product design, the starting point of supply chain design. The authors’ debated and pooled their viewpoints to outline key changes to these areas in response to systemwide disruptions, supported by a narrative literature review of the evolving research, to identify research opportunities.

All three areas have evolved in response to the changed perspective on supply chain risk instigated by the pandemic and resulting in systemwide disruptions. Forecasting, or prediction generally, is evolving from statistical and time-series methods to human-augmented forecasting supplemented with visual analytics. Risk management has transitioned from enterprise to supply chain risk management to tackling systemic risk. Finally, product design principles have evolved from design-for-manufacturability to design-for-adaptability. All three approaches must work together.

The authors outline the evolution in research directions for forecasting, risk management and product design and present innovative research opportunities for building supply chain resilience against systemwide disruptions.

The systems approach is an exemplar of design science research (DSR), whereby specific designs yield generic knowledge. DSR is increasingly being adopted in logistics and operations management research, but many point to neglect of the human aspects of solutions developed. The authors argue that it is possible to look back at the history of the systems movement to seek precedent for ‘dealing’ with the social components, providing a methodologically pluralistic ‘research design’ framework. Thereby, systems approaches are foundational to providing a design-based ‘science’ to progressing the logistics and supply chain management field, dealing with contemporary topics such as resilience.

The authors undertake a discursive assessment of relevant streams of engineering, social science and systems research, with a conceptual development of how the latter influences supply chain design approaches.

Building on a phenomenological framework, the authors create a generic design science research design (DSRD) that enables researchers to choose and integrate the right tools and methods to address simple, complicated and complex problems, dealing with technological, process and social problems.

The DSRD provides a framework by which to exploit a range of methodological stances to problem solving, including quantitative modelling perspectives and ‘soft’ systems social science approaches. Four substantive gaps are identified for future research – establishing the root cause domain of the problem, how to deal with the hierarchy of systems within systems, establishing appropriate criteria for the solution design and how best to deal with chaotic and disordered systems.

The authors argue that the systems approaches offer methodological pluralism by which a generic DSRD may be applied to enhance supply chain design. The authors show the relevance of the DSRD to supply chain design problems including in reducing supply chain dynamics and enhance resilience. In doing so, the study points towards an integrated perspective and future research agenda for designing resilient supply chains.

The aim of this study is to empirically investigate the relative effects of supply chain integration, supply chain information sharing and supply chain design on supply chain performance.

Data collected from 125 manufacturing firms in Turkey are used for analyzing the relationships between the study variables. Regression analyses are used to find the relative impacts of predictor variables (design, integration and information sharing) on flexibility, resource and output performances of a supply chain.

According to the results of regression analyses, the only significant effects on resource and output performances belong to supply chain design. Integration and information sharing are correlated with performance measures, but their relative effect sizes are lower than supply chain design.

The construct of supply chain design developed in this study reveals a significant impact on resource and output performances of a supply chain. Therefore, this study can be viewed as an attempt to increase the level of awareness on supply chain design issues.

The purpose of this paper is to demonstrate a methodology to design a supply chain with a view to achieve a strategic fit between competitive and supply chain strategies.

Quality function deployment (QFD)-based optimization methodology is employed to design a supply chain for a product through aligning the competitive and supply chain strategies. Normal boundary intersection (NBI) method is adopted to obtain optimal weights of the supply chain design objectives. Weighted additive model is developed for multi-objective optimization. Utility-based attribute function, which structure the relationship between the elements of competitive and supply chain strategies is established. The utility functions and the information contained in the House of Quality (HOQ) of QFD are used to define the supply chain performance (SCP).

SCP index is computed using the set of supply chain design objectives obtained by solving the weighted additive model. On the basis of SCP index, the supply chain activities are planned accordingly. An illustrative example is presented in this paper to describe the QFD-based optimization methodology for designing a supply chain.

QFD-based optimization is a novel approach to design a supply chain with a focus on aligning competitive and supply chain strategies.

This study aims to explore how green supply chain management (GSCM) strategies can be effectively implemented for business supply chain operations, relationship management and product design to gain green competitive advantages.

An exploratory in-depth case study was conducted with one of the largest Chinese electronics manufacturers that is considered a leading GSCM adopter in the industry, to understand how the company adopts green supply chain practices across its multiple product lines.

The findings show that businesses can build different green focuses across GSCM elements of green operation, green relationship management and green product design to form diverse hybrid strategic solutions. They include green control, lean, leagile, agile and clean innovation while taking consideration of supply chain type and product lifespan. A taxonomy of four key GSCM strategic combinations is proposed based on the findings. The strategies align with green demand and supply chain characteristics balancing a series of business competitive objectives in terms of reducing pollution and waste, improving green cost efficiency, enhancing green demand innovation and building green service effectiveness.

This study lends insight into the strategic alignment relationships between product supply chain types and approaches to GSCM.

The findings of this study can support industry practitioners in formulating aligned GSCM strategies based on product types to achieve optimal results.

Optimised green supply chain design, operations and relationship management incorporating product attributes can help further minimise negative impacts of business activities on the environment.

This research provides a systematic understanding of how product supply chain types can influence GSCM strategy formulation. It gives a holistic picture of how hybrid choices of strategies with green supply chain operations, relationship management and product design can be formulated based on product and supply chain characteristics.