Supporting the collaborative decision-making process in an automotive supply chain with a multi-agent system

Collaborative initiatives such as collaborative design, collaborative planning and forecasting, and open collective innovation are increasingly accepted as approaches that can effectively support decision-making (DM) processes in a range of different industries. However, justifying and demonstrating the benefits of collaborative solutions remains a challenge and has been under-researched. Demonstrating the feasibility of implementing collaborative solutions as opposed to traditional, linear and transactional solutions is even less evident. The purpose of this paper is to conceive a collaborative solution that supports the multi-level DM process in a real, tree-based automotive supply chain environment. The hypothesis presented posits that by sharing information collaboratively, improvements in terms of the profit and service levels will be found within the supply chain and at every supply chain node.     

An integrated model of supply chain performance evaluation and decision-making using structural equation modelling and fuzzy AHP

This paper aims to propose a comprehensive evaluation tool and decision model, which can help the practitioners to gauge their supply chain performance and guide them in decision-making for further improvements. The model provides a salient notion of integrated supply chain performance evaluation approach distilled from the literature. The five important performance evaluation criteria (supply chain planning performance, supply chain partnership performance, production performance, delivery and logistic performance and customer service and satisfaction performance) and corresponding 19 sub-criteria have been identified. An integrated methodology of structural equation modelling (SEM) and fuzzy analytic hierarchy process (FAHP) have been applied to the proposed model to a real case study of Indian textile–apparel–retail supply chain network.     

An application of the integrated AHP-PGP model for performance measurement of supply chain management

The performance measurement problem has gained great attention in business and operations management literature. The first objective of this study is to determine the required performance measures and to develop a model for performance evaluation, based on these selected measures using analytical hierarchy process (AHP) methodology. The second objective is to explain how an integrated AHP-PGP (pre-emptive goal programming) model can be used in performance measurement while optimising the overall performance. An integration of AHP and multi-objective PGP is used to consider both quantitative and qualitative performance measures in optimising the overall performance of the system. The integrated model is presented with a real-world application using source data provided by a survey conducted in India. Findings demonstrate that the integrated AHP-PGP model can be useful to all supply chain industries in their day-to-day performance measurement decisions.     

Strategic performance measurement in a healthcare organisation: A multiple criteria approach based on balanced scorecard

The Balanced Scorecard (BSC) methodology focuses on major critical issues of modern business organisations: the effective measurement of corporate performance and the evaluation of the successful implementation of corporate strategy. Despite the increased adoption of the BSC methodology by numerous business organisations during the last decade, limited case studies concern non-profit organisations (e.g. public sector, educational institutions, healthcare organisations, etc.). The main aim of this study is to present the development of a performance measurement system for public health care organisations, in the context of BSC methodology. The proposed approach considers the distinguished characteristics of the aforementioned sector (e.g. lack of competition, social character of organisations, etc.). The proposed measurement system contains the most important financial performance indicators, as well as non-financial performance indicators that are able to examine the quality of the provided services, the satisfaction of internal and external customers, the self-improvement system of the organisation and the ability of the organisation to adapt and change. These indicators play the role of Key Performance Indicators (KPIs), in the context of BSC methodology. The presented analysis is based on a MCDA approach, where the UTASTAR method is used in order to aggregate the marginal performance of KPIs. This approach is able to take into account the preferences of the management of the organisation regarding the achievement of the defined strategic objectives. The main results of the proposed approach refer to the evaluation of the overall scores for each one of the main dimensions of the BSC methodology (i.e. financial, customer, internal business process, and innovation-learning). These results are able to help the organisation to evaluate and revise its strategy, and generally to adopt modern management approaches in every day practise.     

Foundations for collaborative performance measurement

In the past years, companies have been establishing collaboration relationships as a means to become more competitive. This type of relationship presents some special characteristics that need to be managed properly in order to be successful. Performance measurement systems (PMSs) may support the management of such relationships by aiding to define and collect the necessary information. However, further understanding is needed to identify the elements and interactions among collaborative elements and how they can be integrated within a PMS. The aim of this article is twofold. The first purpose is to analyse the contents of works that tackle interorganisational and collaborative relationships as well as PMSs for interorganisational and collaborative environments by defining a typology. The typology comprises two dimensions: degree of relationships among collaboration elements and integration of collaboration within PMS. The second purpose is to perform a comparative study of the works for identifying main strengths and gaps for future research.     

Green supply chain performance measurement using the analytic hierarchy process: a comparative analysis of manufacturing organisations

The main purpose of this research is to develop and deploy an analytical framework for measuring the environmental performance of manufacturing supply chains. This work's theoretical bases combine and reconcile three major areas: supply chain management, environmental management and performance measurement. Researchers have suggested many empirical criteria for green supply chain (GSC) performance measurement and proposed both qualitative and quantitative frameworks. However, these are mainly operational in nature and specific to the focal company. This research develops an innovative GSC performance measurement framework by integrating supply chain processes (supplier relationship management, internal supply chain management and customer relationship management) with organisational decision levels (both strategic and operational). Environmental planning, environmental auditing, management commitment, environmental performance, economic performance and operational performance are the key level constructs. The proposed framework is then applied to three selected manufacturing organisations in the UK. Their GSC performance is measured and benchmarked by using the analytic hierarchy process (AHP), a multiple-attribute decision-making technique. The AHP-based framework offers an effective way to measure and benchmark organisations’ GSC performance. This study has both theoretical and practical implications. Theoretically it contributes holistic constructs for designing a GSC and managing it for sustainability; and practically it helps industry practitioners to measure and improve the environmental performance of their supply chain.     

Performance measurement of supply chain management using the analytical hierarchy process

Performance measurement of supply chain management (SCM) is a rapidly growing multi-criteria decision-making problem owing to the large number of factors affecting decision-making. The right choice of performance metrics and measures is critical to the success and competitiveness of the firms in the era of globalisation. Recognising the multiple objective nature of the problem, this paper proposes the use of the analytical hierarchy process (AHP) methodology as aid in making SCM evaluation decisions. For pair-wise comparison in AHP, a survey methodology is used. The methodology presented can help firms to prioritise and formulate viable performance measurement strategies in the volatile and complex global decision environment from different balanced scorecard (BSC) perspectives. A demonstration of the application of this methodology in a real life problem is presented.     

Prioritizing lean supply chain management initiatives in healthcare service operations: a fuzzy AHP approach

The objective of this study is to investigate the perceptions of practitioners/experts about the prioritisation of healthcare performance measures and their relationship with lean supply chain management (LSCM) practices. The study will also prioritise the drivers and resources required to implement LSCM in a healthcare operations context. The prioritisation is based on the relative weights of various initiatives on a range of performance measures. Twenty-four LSCM initiatives were identified using a comprehensive literature review. Q-sort method was used to divide those initiatives into four categories. Fuzzy AHP was then used to prioritise the four categories based on relative weight of importance of each category on three different performance dimensions. The result shows that continuous improvement is a dominating LSCM initiative in increasing operational and financial performance, while enterprise alignment/integration is a dominating initiative in enhancing organisational image and operational performance. However, lack of homogeneity among LSCM initiatives suggests that there is a need for careful consideration when implementing them in healthcare organisations. Furthermore, customer needs and the influence of competitor’s actions are the most important drivers to encourage hospitals to adopt an LSCM strategy. This is one of the first studies to examine the prioritisation and ranking of LSCM constructs on performance within the context of the healthcare industry.     

Evaluation of the green supply chain management practices: a fuzzy ANP approach

Environmentally responsible manufacturing, green supply chain management (GSCM), and related principles have become important strategies for companies to achieve profit and gain market share by lowering their environmental impacts and increasing their efficiency. As environment has become a key strategic consideration in supply chains, this study examines the components and elements of GSCM and suggests a novel GSCM evaluation framework. It also provides a real-case study of Ford Otosan, one of the pioneering companies about environmental subjects in Turkey, to illustrate the industrial application of our theoretical assessment model. The identified components are integrated into a strategic assessment and evaluation tool using analytical network process (ANP). The dynamic characteristics and complexity of the GSCM analysis environment make the ANP technique a suitable tool for this study. Moreover, to cope with ambiguity and vagueness of the decision maker's evaluations, the fuzzy extension of the ANP method is preferred.     

Supporting open innovation with the use of a balanced scorecard approach: a study on deep smarts and effective knowledge transfer to SMEs

Abstract

This study aims to develop the theory of knowledge management and organizational performance within a small and medium enterprise (SME) context using action research (AR) involving a higher education institution (HEI) and an SME. The vehicle for the knowledge exchange was Knowledge Transfer Partnerships (KTPs), the United Kingdom’s primary mechanism for delivering government funded knowledge transfer to small and medium enterprises (SMEs). KTPs facilitate knowledge exchange from HEIs to SMEs via the recruitment of a graduate plus an academic supervisor from the partnering HEI. The AR study was an award-winning KTP and the project deliverable included the implementation of a balanced scorecard for the SME to improve organizational performance. The transfer of knowledge was subsequently fed-back into the university in order to develop a performance framework for measuring the effectiveness of KTP research within the HEI in order to share knowledge and improve effective for other KTP projects.     

Development and validation of a lean supply chain management measurement instrument

It is widely argued that to be competitive, a company not only needs to focus on internal aspects but on the entire supply chain. Lean supply chain management has become a means of enhancing competitiveness by improving efficiency and increasing flexibility at all stages of the supply chain. This research develops and validates a lean supply chain management measurement instrument. A two-phase approach is used for scale development and refinement. In the first phase, a literature review is conducted to identify definitions of lean supply chain management and agile supply chain management and their corresponding measurement items. In the second phase, the lean supply chain management measurement instrument is validated using survey data based on scales developed in the first phase by 59 scholars with experience in lean management and/or supply chain management. The results provide a structured and comprehensive measure of lean supply chain management indicating that there are two differentiated dimensions in the measurement instrument: one related to the operational aspects of lean supply chain strategy implementation and the second related to lean supply chain planning.     

Value creation through collaborative supply chain: holistic performance enhancement road map

This paper proposes an integrated novel framework between B2B-SCM using data mining techniques such as K-Means based on particle swarm intelligence (particle swarm optimisation) and association rule. It constructs relationship rules of holistic performance enhancement road map. The data-set of relationships between enterprise and its direct customers of the case study organisations in France was used for demonstration. The experiment results show how domain managers powerfully utilise the graphical analysis results to provide the holistic performance improvement and weakness resolution relationship rules. In the long run, organisations are able to use this framework to design and adjust their units to conform the exact customer needs. This paper introduces and explains a new idea of measuring value added along the supply chain from a collaborative perspective. The extended model is adapted from our previous model and from balanced scorecard model. It provides a tool to measure tangible and intangible value between partners.     

基于时变需求的一对一供应链库存决策研究

随着竞争日趋激烈,需求变化节奏加快,需求时变性越加明显.在需求时变的环境下探讨了等周期补货情形下缺货时点优化以及非等周期补货情形下缺货时点与补货时点优化问题,特别着重研究了补货时点局部优化与整体优化的决策模型,并对非等周期补货与等周期补货、补货时点整体优化与补货时点局部优化作对比分析,并发现,在时变需求环境下非等周期补货与补货时点整体优化在降低库存成本方面具有明显优势.同时,分析了补货时点优化的效果与供需双方补货次数、需求时变性的关系.     

Developing management capability within a horizontal supply chain in performance measurement deployment and evolution: a Dynamic Capabilities and Goal Theory perspective

Abstract

Complex collaboration in rapidly changing business environments create challenges for management capability in Utility Horizontal Supply Chains (UHSCs) involving the deploying and evolving of performance measures. The aim of the study is twofold. First, there is a need to explore how management capability can be developed and used to deploy and evolve Performance Measurement (PM), both across a UHSC and within its constituent organisations, drawing upon a theoretical nexus of Dynamic Capability (DC) theory and complementary Goal Theory. Second, to make a contribution to knowledge by empirically building theory using these constructs to show the management motivations and behaviours within PM-based DCs. The methodology uses an interpretive theory building, multiple case-based approach (n = 3) as part of a USHC. The data collection methods include, interviews (n = 54), focus groups (n = 10), document analysis and participant observation (reflective learning logs) over a five-year period giving longitudinal data. The empirical findings lead to the development of a conceptual framework showing that management capabilities in driving PM deployment and evolution can be represented as multilevel renewal and incremental Dynamic Capabilities, which can be further understood in terms of motivation and behaviour by Goal-Theoretic constructs. In addition, three interrelated cross-cutting themes of management capabilities in consensus building, goal setting and resource change were identified. These management capabilities require carefully planned development and nurturing within the UHSC.     

Sustainable supply chain practices: an empirical investigation on Indian automobile industry

The purpose of this research study is to analyze sustainable supply chain (SSC) management practices for Indian automobile industry and to identify the critical factors for its successful implementation. Despite the fact that SSC has been frequently promoted as a means of improving business competitiveness, little empirical evidence exists in the literature validating its positive link with organizational performance. Sustainable supply chain practices (SSCP) not only help in reducing environmental degradation but it also has social and economic implications (as per tipple bottom line approach). For this purpose, empirical data is collected to measure the SSCP prevailing in Indian automobile industry. A structural equation modeling technique is used to build the measurement and structural models. Later, statistical estimates are used to validate the model that has been built. The data analysis helps to determine whether to accept or reject the hypothesis that has been stated based on the structural model. The result shows how SSCP are correlated and help in improving the supply chain performance among the industries being surveyed. It is also observed that environmental and social performance have a positive relationship with economic performance.     

Exploring the factors of achieving supply chain excellence: a New Zealand perspective

The objective of the paper is to analyse supply chain (SC) excellence from the practitioners’ perspective in the New Zealand (NZ) context. The extant literature does not focus on achieving this excellence with the contemporary factors of this dynamic field. The study is an exploratory one using the structured Delphi technique to understand the ground level experience of the practitioners on the constructs of supply chain excellence. In this paper, we have administered three poll rounds to gather insights from the SC practitioners on the various enablers and barriers that impact supply chain excellence in the NZ environment. Seven supply chain management constructs are explored for their relationships with barriers and enablers in achieving the excellence in supply chains. The outcomes reveal that the people relevant issues (i.e. SCM knowledge education and supply chain culture) are more significant than other technical and operational factors. However, the influences from specific NZ business environment issues become far less important than a few years ago. This paper seeks the integration of practice-based views with the academic supply chain literature and original contributions from the NZ context.     

Using vulnerability performance indicators to attain food supply chain robustness

High effectiveness and leanness of modern supply chains (SCs) increase their vulnerability, i.e. susceptibility to disturbances reflected in non-robust SC performances. Both the SC management literature and SC professionals indicate the need for the development of SC vulnerability assessment tools. In this article, a new method for vulnerability assessment, the VULA method, is presented. The VULA method helps to identify how much a company would underperform on a specific Key Performance Indicator in the case of a disturbance, how often this would happen and how long it would last. It ultimately informs the decision about whether process redesign is appropriate and what kind of redesign strategies should be used in order to increase the SC's robustness. The applicability of the VULA method is demonstrated in the context of a meat SC using discrete-event simulation to conduct the performance analysis.     

Green supply management and performance: a resource-based view

Abstract

This study develops and empirically tests, from the resource-based perspective, a conceptual framework linking green supply management and performance. The proposed model is tested using data from a sample of 126 automotive manufactures in China. The results suggest that both green purchasing personnel and green supplier selection have a significant positive effect on green supplier collaboration, and that building green collaboration with suppliers is significantly and positively related to both environmental and operational performance. Accordingly, knowledge and skill development of the purchasing function can be recognised as an important resource in building green supply capabilities and performance.     

The benefits of a cross-docking delivery strategy: a supply chain collaboration approach

In this study, two models are developed to co-ordinate both production and distribution in order to reduce the relevant costs in a supply chain. According to the functions of the distribution centre, there is a distinction between an inventory co-ordination point and an inventory storage point. The former is a cross-docking strategy, and the latter is a traditional warehousing strategy. The manufacturer has distinct production processes when co-operating with the distribution centre. Case study analysis is used to illustrate the models developed, in which the following conclusions can be obtained: the cross-docking distribution strategy will result in tremendous savings in the total system cost for the supply chain. This study makes two important contributions to the production, and logistics literature. First, the range of applications was extended by studying a new combinatorial problem that incorporates cross-docking in a supply chain environment. Second, computational performance with cross docking was evaluated. The benefit delivery policy for a distribution centre was found by means of integrating manufacturer production planning and a distribution centre delivery policy.     

敏捷供应链供需协调绩效关联分析与实证研究

回顾了供应链协调管理与协调绩效评价的研究现状,分析了供应链协调绩效因子之间的相互关系,建立了一系列的供需协调绩效的关联关系的理论假设命题和一个综合分析模型,并且通过企业的问卷采样,对假设与模型进行了实证研究,验证了有关分析结论与假设命题.