Measuring supply chain performance: the triple E model

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Luiz Eduardo Simão ◽  
Karine Somensi ◽  
Ricardo Villarroel Dávalos ◽  
Carlos Manuel Taboada Rodriguez
Keyword(s):  
Supply Chain ◽  
Environmental Impact ◽  
Performance Measurement ◽  
Cycle Time ◽  
Regional Distribution ◽  
Measurement Model ◽  
Service Level ◽  
Distribution Center ◽  
Transport Capacity ◽  
Content Type

PurposeThis work aims to measure the performance of an electric motors supply chain (SC) by using the Triple E performance measurement model to assess three performance dimensions simultaneously: efficiency, efficacy and environmental impact.Design/methodology/approachThis research presents a real case of a Brazilian company as an example for applying the Triple E performance measurement model and the discrete-event simulation to assess the performance of an SC.FindingsPerformance measurements for the three dimensions were the following: (1) for efficiency, a high inventory cost in the SC, driven by the distribution center (DC) (49.7% total cost); an order cycle time operating with an average of 21.7 days and a logistic channel transport capacity of 88%; (2) for efficacy, a service level of 98% for all channels; (3) for environmental impact, the SC emits a total of 395,733 kg of CO2 annually, with the DC and the regional distribution center (RDC2) being the largest emitters.Originality/valueThis work allowed to measure the performance of an SC interface (manufacturing process, a DC and three regional distribution centers). It was possible to measure the inventory holding cost and out-of-stock inventory costs, order cycle time, SC service level, transport capacity utilization and CO2 emissions in the transportation process of each SC stage and the whole SC. This study can be used as a decision support guide for academics and practitioners to measure and improve the SC performance.

scholarly journals Environmental performance measurement for green supply chains

2018 ◽  
Vol 48 (8) ◽  
pp. 765-793 ◽  
Author(s):  
Andrea Tuni ◽  
Athanasios Rentizelas ◽  
Alex Duffy
Keyword(s):  
Supply Chain ◽  
Performance Measurement ◽  
Supply Chains ◽  
Environmental Impacts ◽  
Environmental Performance ◽  
Quantitative Methods ◽  
Measurement Model ◽  
Environmental Aspects ◽  
Content Type ◽  
Environmental Performance Measurement

Purpose The majority of the environmental impacts in a typical supply chain can arise beyond the focal firm boundaries. However, no standardised method to quantify these impacts at the supply chain level currently exists. The purpose of this paper is to identify the quantitative methods developed to measure the environmental performance of supply chains and evaluate their key features. Design/methodology/approach A systematic literature review is conducted at the intersection of performance measurement and green supply chain management (GSCM) fields, covering 78 publications in peer-reviewed academic journals. The literature is reviewed according to several perspectives, including the environmental aspects considered, the main purpose of measurement, model types and the extent of supply chain covered by performance measurements. Findings Adopted environmental metrics show a low degree of standardisation and focus on natural resources, energy and emissions to air. The visibility and traceability of environmental aspects are still limited; the assessment of environmental impacts does not span in most cases beyond the direct business partners of the focal firms. A trade-off was observed between the range of environmental aspects and the extent of the supply chain considered with no method suitable for a holistic evaluation of the environmental supply chain performance identified. Three major streams of research developing in the field are identified, based on different scope. Originality/value This paper is the first attempt to examine in detail what tiers of the supply chain are actually involved in green performance assessment, ultimately contributing to clarify the scope of the supply chain dimension in GSCM performance measurement research. The work also recognises which methods are applicable to extended supply chains and explores how different methodologies perform in terms of supply chain extent covered.

Measuring while moving (humanitarian supply chain performance measurement – status of research and current practice)

2015 ◽  
Vol 5 (2) ◽  
pp. 146-161 ◽  
Author(s):  
Charles D'Haene ◽  
Sara Verlinde ◽  
Cathy Macharis
Keyword(s):  
Supply Chain ◽  
Literature Review ◽  
Performance Measurement ◽  
Current Practice ◽  
Service Level ◽  
Performance Model ◽  
Supply Chain Performance ◽  
Content Type ◽  
Humanitarian Organizations ◽  
Humanitarian Supply Chain

Purpose – Raising standards are leading humanitarians to become increasingly interested in measuring the performance of their supply chain. A few researchers have addressed this topic, building on classical measurement theories and trying to identify the salient features of the humanitarian sector. This young body of literature must now be tested against current practice. The paper aims to discuss these issues. Design/methodology/approach – The practitioners’ perspective is explored through a multiple case study, based on qualitative evidence, within three major humanitarian organizations. Results are discussed using a situation-actor-process – learning-action-performance model of inquiry. Preceding this investigation, a literature review delves into research on humanitarian supply chain performance measurement and presents the most relevant pieces in a general framework. Findings – Humanitarians have elaborated measures whose essential focus is laid on service level. The more comprehensive approach advocated by researchers has received some consideration but is still poorly implemented. An issue that is given more priority by humanitarians is the accelerated supply chain integration they are going through. Originality/value – In addition to an unprecedented literature review, this paper offers a comparative study of humanitarian organizations’ practices in the field of supply chain performance measurement. Humanitarian procurement centres, virtually ignored in literature until now, are scrutinized at a turning point of their evolution.

scholarly journals Performance measurement in the natural gas industry

2018 ◽  
Vol 25 (8) ◽  
pp. 2913-2930 ◽  
Author(s):  
Yahaya Yusuf ◽  
Angappa Gunasekaran ◽  
Thanos Papadopoulos ◽  
Wendy Auchterlounie ◽  
Delphine Hollomah ◽  
...  
Keyword(s):  
Supply Chain ◽  
Natural Gas ◽  
Performance Measurement ◽  
Conceptual Model ◽  
Performance Measures ◽  
Petroleum Industry ◽  
Measurement Model ◽  
Performance Criteria ◽  
Structured Interviews ◽  
Content Type

PurposeThe purpose of this paper is to develop a performance measurement model for the entire supply chain that includes balanced set of performance measures.Design/methodology/approachThe conceptual model was validated empirically in case companies through semi-structured interviews and content analysis of documents.FindingsPerformance measures are important to companies in the natural gas (NG) supply chain to assess performance against set objectives in order to identify loopholes in performance. This is important in order to remain competitive. The research found that both financial and non-financial performance measures are employed by companies to measure performance. The results also indicate that six performance criteria of the conceptual model are vital to the NG supply chain. In addition, all identified measures under each of criteria impact on performance of the supply chain with customer service and financial criteria considered as most important.Research limitations/implicationsThe empirical data collected from the NG supply chain in Ghana were relatively small; however, additional information was obtained from company data and relevant magazines. Also, getting through to specific target participant was a challenge due to busy work schedule but, in case companies where it proved impossible, other staff who were also involved in supply chain were interviewed instead.Practical implicationsThis research provides a useful source of information on performance measures for practitioners in the NG industry who wish to measure performance of their supply chain. It also provides areas from which further and additional research can be carried out.Originality/valueThis research provides performance measures for the NG supply chain of Ghana. Typically, performance measures have been evaluated in discrete manufacturing supply chain, petroleum industry supply chain and oil industry supply chain. This research expanded on ideas from these studies and applied them in the NG industry.

Measuring agri-food supply chain performance: insights from the Peruvian kiwicha industry

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Edgar Ramos ◽  
Phillip S. Coles ◽  
Melissa Chavez ◽  
Benjamin Hazen
Keyword(s):  
Supply Chain ◽  
Performance Measurement ◽  
Performance Management ◽  
Food Supply ◽  
Measurement Model ◽  
Performance Measurement System ◽  
Supply Chain Performance ◽  
Food Supply Chain ◽  
Content Type ◽  
Fuzzy Micmac

PurposeAgri-food firms face many challenges when assessing and managing their performance. The purpose of this research is to determine important factors for an integrated agri-food supply chain performance measurement system.Design/methodology/approachThis research uses the Peruvian kiwicha supply chain as a meaningful context to examine critical factors affecting agri-food supply chain performance. The research uses interpretative structural modelling (ISM) with fuzzy MICMAC methods to suggest a hierarchical performance measurement model.FindingsThe resulting kiwicha supply chain performance management model provides insights for managers and academic theory regarding managing competing priorities within the agri-food supply chain.Originality/valueThe model developed in this research has been validated by cooperative kiwicha associations based in Puno, Peru, and further refined by experts. Moreover, the results obtained through ISM and fuzzy MICMAC methods could help decision-makers from any agri-food supply chain focus on achieving high operational performance by integrating key performance measurement factors.

Performance modeling and benchmarking of green supply chain management

2018 ◽  
Vol 25 (7) ◽  
pp. 2248-2271 ◽  
Author(s):  
Atul Kumar Sahu ◽  
Harendra Kumar Narang ◽  
Mridul Singh Rajput ◽  
Nitin Kumar Sahu ◽  
Anoop Kumar Sahu
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Performance Measurement ◽  
Environmental Sustainability ◽  
Measurement Model ◽  
Triangular Fuzzy Number ◽  
Green Supply Chain Management ◽  
Green Supply Chain ◽  
Chain Management ◽  
Content Type

Purpose Based on the existing literature in the field of green supply chain management (GSCM), the purpose of this paper is to find essential to conceptualize and develop an efficient appraisement platform for the purpose of benchmarking green alternative in supply chain network. Design/methodology/approach The authors explored multiple approaches, i.e. Višekriterijumsko kompromisno rangiranje (VIKOR), simple additive weighting (SAW) and grey relational analysis (GRA) by amalgamating fuzzy sets theory to select the most appropriate alternative for GSCM. The work is supported by triangular fuzzy number sets to choose the green alternative industry among available industries, while dealing with the uncertainty and vagueness in GSCM. A case study is exposed to identify strong and weak indices and to exhibit the feasibility of the proposed work. Findings It is requisite by the managers of many firms to identify the strong and weak indices relating their firms. Thus, the authors presented an approach for measuring and appraising the performance of the selected green alternative by determining the strong and weak indices. The presented work illustrates the performance measurement model that identifies comprehensive GSCM practices of the firms. The presented work incorporates green supply chain activities to support environmental sustainability throughout the supply chain. Research limitations/implications GSCM is necessary to the firms, as it considers impact onto the environment due to their supply chain activities. The authors build decision support system to facilitate the managers of various firms for modeling green practices in their decision making. The authors attempt to devise a conceptual framework linked with knowledge-based theory. Originality/value The authors conceptualized VIKOR, SAW and GRA methodology to rank and benchmark the green performance of distinguish alternative industries among available industries. Additionally, the performance measurement model for the selected significant green alternative is presented for determining the strong and weak indices.

Performance measurement for supply chain management and quality management integration

2019 ◽  
Vol 27 (7) ◽  
pp. 2130-2147 ◽  
Author(s):  
Marcio C. Machado ◽  
Renato Telles ◽  
Paulo Sampaio ◽  
Maciel M. Queiroz ◽  
Ana Cristina Fernandes
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Quality Management ◽  
Performance Measurement ◽  
Performance Measures ◽  
Chain Management ◽  
Content Type ◽  
Theoretical Perspectives ◽  
Overall Performance ◽  
Key Aspects

Purpose The purpose of this paper is to present a conceptual framework for performance measurement (PM) for the integration of supply chain management (SCM) and quality management (QM). Design/methodology/approach A systematic literature review on SCM and QM was conducted to develop key performance measures related to six areas of integration between QM and SCM: leadership; continuous improvement and innovation; sustainability performance; stakeholders; information system; and management and strategic planning. Findings Supported by the literature concerning to supply chain quality management (SCQM) integration, a set of nine propositions about performance measures, that contribute to the integration of SCQM, were developed. Originality/value This study contributes to QM practices within a supply chain environment from an integrated perspective. Additionally, the propositions have significant implications from both managerial and theoretical perspectives. This study also extends the concept of supply chain quality integration by focusing on key aspects of PM that may help to improve the overall performance of the supply chain.

System dynamics modelling of fixed and dynamic Kanban controlled production systems: a supply chain perspective

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jagan Mohan Reddy K. ◽  
Neelakanteswara Rao A. ◽  
Krishnanand Lanka ◽  
PRC Gopal
Keyword(s):  
Supply Chain ◽  
System Dynamics ◽  
Cycle Time ◽  
Production System ◽  
Demand Uncertainty ◽  
Production Systems ◽  
Decision Variable ◽  
Content Type ◽  
Pull Production ◽  
Kanban System

Purpose Pull production systems have received much attention in the supply chain management environment. The number of Kanbans is a key decision variable in the pull production system as it affects the finished goods inventory (FGI) and backorders of the system. The purpose of this study is to compare the performance of the fixed and dynamic Kanban systems in terms of operational metrics (FGI and backorders) under the demand uncertainty. Design/methodology/approach In this paper, the system dynamics (SD) approach was used to model the performance of fixed and dynamic Kanban based production systems. SD approach has enabled the feedback mechanism and is an appropriate tool to incorporate the dynamic control during the simulation. Initially, a simple Kanban based production system was developed and then compared the performance of production systems with fixed and dynamic controlled Kanbans at the various demand scenarios. Findings From the present study, it is observed that the dynamic Kanban system has advantages over the fixed Kanban system and also observed that the variation in the backorders with respect to the demand uncertainty under the dynamic Kanban system is negligible. Research limitations/implications In a just-in-time production system, the number of Kanbans is a key decision variable. The number of Kanbans is mainly depended on the demand, cycle time, safety stock factor (SSF) and container size. However, this study considered only demand uncertainty to compare the fixed and dynamic Kanban systems. This paper further recommends researchers to consider other control variables which may influence the number of Kanbans such as cycle time, SSF and container size. Originality/value This study will be useful to decision-makers and production managers in the selection of the Kanban systems in uncertain demand applications.

Pricing and service decision of dual-channel operations in an O2O closed-loop supply chain

2017 ◽  
Vol 117 (8) ◽  
pp. 1567-1588 ◽  
Author(s):  
Lingcheng Kong ◽  
Zhiyang Liu ◽  
Yafei Pan ◽  
Jiaping Xie ◽  
Guang Yang
Keyword(s):  
Supply Chain ◽  
Closed Loop ◽  
Wholesale Price ◽  
Revenue Sharing ◽  
Service Level ◽  
Return Rate ◽  
Transfer Payment ◽  
Channel Conflict ◽  
Content Type ◽  
Dual Channel

Purpose The online direct selling mode has been widely accepted by enterprises in the O2O era. However, the dual-channel (online/offline, forward/backward) operations of the closed-loop supply chain (CLSC) changed the relationship between manufacturers and retailers, thus resulting in channel conflict. The purpose of this paper is to take a dual-channel operations of CLSC as the research target, where a manufacturer sells a single product through a direct e-channel as well as a conventional retail channel; the retailer are responsible for collecting used products in the reverse supply chain and the manufacturer are responsible for remanufacturing. Design/methodology/approach The authors build a benchmark model of dual-channel price and service competition and take the return rate, which is considered to be related to the service level of the retailer, as the function of the service level to extend the model in the reverse SC. The authors then analyze the optimal pricing and service decision under centralization and decentralization, respectively. Finally, with the revenue-sharing factor, wholesale price and recycling price transfer payment coefficient as contract parameters, the paper also designs a revenue-sharing contract led by the manufacturer and explores in what situation the contract could realize the Pareto optimization of all players. Findings In the baseline model, the results show that optimal price and service level correlate positively in centralization; however, the relation relies on consumers’ price sensitivity in decentralization. In the extension model, the relationship between price and service level also relies on the relative value of increased service cost and remanufacturing saved cost. When the return rate correlates with the service level, a recycling transfer payment can elevate the service level and thus raise the return rate. Through analyzing the parameters in revenue-sharing contract, a point can be reached where lowering the wholesale price and raising the transfer payment coefficient will promote retailers to share revenue. Practical implications Many enterprises establish the dual-channel distribution system both online and offline, which need to understand how to resolve their channel conflict. The conflict is especially strong in CLSC with remanufacturing. The result helps the node enterprises realize the coordination of the dual-channel CLSC. Originality/value It takes into account the fact that there are two complementary relationships, such as online selling and offline delivery; used product recycling and remanufacturing. The authors optimize the strategy of product pricing and service level in order to solve channel conflict and double marginalization in the closed-loop dual-channel distribution network.

Exploring and measure the performance of the Indian petroleum supply chain

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sourabh Kumar ◽  
Mukesh Kumar Barua
Keyword(s):  
Supply Chain ◽  
Technology Adoption ◽  
Performance Measurement ◽  
New Technology ◽  
Evaluation Framework ◽  
Supply Chain Performance ◽  
Performance Indices ◽  
Content Type ◽  
New Technology Adoption ◽  
Petroleum Companies

PurposeThis research identifies the supply chain performance indices and designs an evaluation framework to assess and compare the Indian petroleum supply chain performance. We presented a case study of three Indian petroleum companies. For this purpose, we identified fifteen performance criteria extracted from previous literature and expert inputs and classified them into four groups.Design/methodology/approachA fuzzy technique for order preference by similarity to the ideal solution (TOPSIS) method is employed for evaluating the performance of the Indian petroleum supply chain.FindingsThe design and evaluation framework suggests that the top three performance measurement criteria, the purity of the products, compliance with environmental laws, and new technology adoption. The result findings also indicate that company C contributes to a maximum satisfaction level of 77%. Simultaneously, companies A and B hold satisfaction levels of 72% and 67%.Practical implicationsThe managers should ensure that environmental standards, new technology adoption, and quality are significant concerns in the petroleum supply chain. The managers should follow national and international policies to preserve the environment and ensure safety in operational activities.Originality/valueThis paper makes two contributions in the domain of performance measurement of the petroleum supply chain. First, it identifies the prominent supply chain performance indices. Second, it proposes a model to assess and compare the performance of Indian petroleum companies.

scholarly journals Performance measurement for supply chains in the Industry 4.0 era: a balanced scorecard approach

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Guilherme Francisco Frederico ◽  
Jose Arturo Garza-Reyes ◽  
Anil Kumar ◽  
Vikas Kumar
Keyword(s):  
Supply Chain ◽  
Performance Measurement ◽  
Supply Chains ◽  
Balanced Scorecard ◽  
Industry 4.0 ◽  
Theoretical Perspective ◽  
Performance Measurement System ◽  
Content Type ◽  
The Balanced Scorecard ◽  
Performance Measurement Systems

PurposeThe purpose of this paper is to present a theoretical approach based on the balanced scorecard (BSC) with regard to performance measurement – PM in supply chains for the Industry 4.0 era.Design/methodology/approachThis paper combines the literature of PM and specifically the BSC with the literature related to the dimensions of supply chain in the context of Industry 4.0.FindingsDimensions extracted from the literature based on supply chains within the context of Industry 4.0 showed a strong alignment with the four perspectives of the BSC, which make it suitable to be considered as a performance measurement system (PMS) for supply chains in this new context.Research limitations/implicationsFrom theoretical perspective, this study contributes to the limited literature on PM for supply chains in Industry 4.0 era. The study proposes a supply chain 4.0 Scorecard and strongly support researchers to conduct future empirical researches in order to get a deeper understanding about PM in supply chains in the Industry 4.0 era. As limitations, the theoretical framework proposed needs further empirical research in other to validate it and obtain new insights over the investigation conducted and presented into this paper.Practical implicationsPractitioners can use this study as a guide to develop more effective performance measurement systems – PMSs in their organizations.Originality/valueThis research is unique as it addresses a significant knowledge gap related to PM in supply chains in the Industry 4.0 era. It brings a significant contribution in terms of understanding how to measure performance in supply chains in this new era.

Sign in / Sign up

Export Citation Format

Share Document