scholarly journals Adaptation of logistic operating curves to one‐piece flow processes

2006 ◽  
Vol 55 (3/4) ◽  
pp. 284-299 ◽  
Author(s):  
Peter Nyhuis ◽  
Markus Vogel
Keyword(s):  
Performance Measures ◽  
Manufacturing Systems ◽  
Manufacturing Processes ◽  
Throughput Time ◽  
Content Type ◽  
Manufacturing Enterprises ◽  
Target Values ◽  
Flow Processes ◽  
Delivery Reliability ◽  
Schedule Reliability

PurposeTo provide a model for precise logistic controlling of one‐piece flow processes and for the description of the interactions between logistic performance measures. The developed method can help manufacturing enterprises to control their production processes and therewith to exploit existing rationalization potentials in their production.Design/methodology/approachThe Institute of Production System and Logistics adapted the logistic operating curve for schedule reliability and the logistic operating curve for mean throughput time to describe the behaviour of one‐piece flow processes. This model‐based method depicts the correlation between the delivery reliability and mean WIP level of single manufacturing systems and enables a goal‐oriented modelling as well as a controlling of single manufacturing processes.FindingsThe derivation, calculation, and fields of application of the logistic operating curves for one‐piece flow processes, that give a functional relationship between mean WIP, mean throughput time and schedule reliability, are presented in this paper. Moreover, the paper presents how the logistic performance measures can be adjusted to target values.Originality/valueThis paper offers practical help to manufacturing enterprises confronted with the task of evaluation and optimization of manufacturing processes within the framework of production controlling. Moreover, the developed method enables manufacturing enterprises to identify bottleneck work systems where action can be taken to optimize their schedule situation and thereby improve the delivery reliability of an entire manufacturing department.

Evaluation of smart manufacturing performance using a grey theory-based approach: a case study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anilkumar Malaga ◽  
S. Vinodh
Keyword(s):  
Performance Measures ◽  
Manufacturing Systems ◽  
Dynamic Scheduling ◽  
Performance Level ◽  
Self Control ◽  
Raw Material ◽  
Smart Manufacturing ◽  
Grey Theory ◽  
Content Type ◽  
Importance Index

PurposeThe purpose of the article is to report a study on evaluation of smart manufacturing (SM) performance using a grey theory-based approach.Design/methodology/approachIn total, 30 criteria and 79 attributes for SM performance have been developed. A grey theory-based approach has been used for SM performance evaluation. The grey index has been calculated, and weaker areas have been derived. Performance level of SM has been evaluated using the Euclidean distance approach.FindingsThe SM performance index is found to be (3.036, 12.296). The ideal grey performance importance index (GPII) is obtained as (3.025, 4.875). The level of visibility and traceability, vertical integration, lead time and configuration data espionage and control ability are strong performing attributes. Integration abilities of services and manufacturing systems, ability of self-control, worker and raw material productivity, collaboration among buyers and suppliers and dynamic scheduling are identified as weaker areas, and suggestions for improvement have been derived. SM performance level has been identified as “Good.”Research limitations/implicationsAdditional performance measures could be included as a part of evaluation. Practitioners can overcome weaker areas in the early phase. Management achieves confidence and practitioners attain success in implementation of SM in industry through the developed SM performance indexing system.Originality/valueIdentification of SM performance measures and analysis of SM performance is the original contribution of the authors. The developed approach assists practitioners and managers to focus more on specific areas for performance improvement.

Modeling and Analyzing the Material Flow of Crowdsourcing Processes in Cloud-Based Manufacturing Systems Using Stochastic Petri Nets

2014 ◽  
Author(s):  
Dazhong Wu ◽  
David W. Rosen ◽  
Dirk Schaefer
Keyword(s):  
Petri Nets ◽  
Material Flow ◽  
Manufacturing Systems ◽  
Cloud Manufacturing ◽  
Stochastic Petri Nets ◽  
Manufacturing Processes ◽  
Manufacturing Enterprises ◽  
Car Suspension ◽  
Manufacturing Performance

Cloud-based manufacturing (CBM), also referred to as cloud manufacturing, has the potential to allow manufacturing enterprises to be rapidly scaled up and down by crowdsourcing manufacturing tasks or sub-tasks. To improve the efficiency of the crowdsourcing process, the material flow of CBM systems needs to be managed so that several manufacturing processes can be executed simultaneously. Further, the scalability of manufacturing capacity in CBM needs to be designed, analyzed, and planned in response to rapidly changing market demands. The objective of this paper is to introduce a stochastic petri nets (SPNs)-based approach for modeling and analyzing the concurrency and synchronization of the material flow in CBM systems. The proposed approach is validated through a case study of a car suspension module. Our results have shown that the SPN-based approach helps analyze the structural and behavioral properties of a CBM system and verify manufacturing performance.

scholarly journals Monopoly behavior of China’s manufacturing enterprises

2019 ◽  
Vol 2 (1) ◽  
pp. 157-179
Author(s):  
Guidong Wang
Keyword(s):  
Design Methodology ◽  
Manufacturing Industry ◽  
Rent Seeking ◽  
Content Type ◽  
Manufacturing Enterprises ◽  
Slow Decline ◽  
State Capital ◽  
The Government ◽  
Do So ◽  
Initial Jump

Purpose With the increase of state capital, corporate total factor productivity (TFP) has a tendency to jump up at first and then slowly decrease. Generally, no significant “productivity paradox” can be observed in China’s manufacturing industry. With the increase of export density, corporate TFP also shows a trend of initial jump growth and subsequent slow decline. This paper aims to discuss these issues. Design/methodology/approach Using the 1996–2013 China Industrial Enterprise Database, this paper studies the monopolistic behavior of Chinese manufacturing enterprises through the measurement of TFP and corporate monopoly power. Findings Results show that China’s manufacturing monopoly enterprises are generally innovation-oriented rather than rent-seeking. However, there are certain differences between diversified types of monopoly enterprises: the ones with state capital are more inclined to innovate than those without, whereas the ones with export delivery value are more inclined to seek rent than those without. Originality/value Therefore, the government should implement differentiated policies for diversified types of monopoly enterprises, and do so in a targeted manner fully reflecting the containment of rent-seeking and the encouragement of innovation.

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.

Propagation of risks and their impact on performance in fresh food retail

2015 ◽  
Vol 26 (3) ◽  
pp. 568-602 ◽  
Author(s):  
Samir K Srivastava ◽  
Atanu Chaudhuri ◽  
Rajiv K. Srivastava
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Performance Measures ◽  
Theory And Practice ◽  
Food Retail ◽  
Content Type ◽  
Fresh Food ◽  
Retail Supply Chains ◽  
And Performance ◽  
Supply Chain Risks

Purpose – The purpose of this paper is to carry out structural analysis of potential supply chain risks and performance measures in fresh food retail by applying interpretive structural modeling (ISM). Design/methodology/approach – Inputs were taken from industry experts in identifying and understanding interdependencies among food retail supply chain risks on different levels (sourcing and logistics outside the retail stores; storage and customer interface at the stores). Interdependencies among risks and their impact on performance measures are structured into a hierarchy in order to derive subsystems of interdependent elements to derive useful insights for theory and practice. Findings – Using the ISM approach the risks and performance measures were clustered according to their driving power and dependence power. Change in/inadequate government regulations’ are at the bottom level of the hierarchy implying highest driving power and require higher attention and focussed mitigation strategies. Risks like lack of traceability, transport delays/breakdowns and temperature abuse, cross-contamination in transport and storage have medium driver and dependence powers. Research limitations/implications – The approach is focussed on food retail supply chains in the Indian context and thereby limits the ability to generalize the findings. The academics and experts were selected on convenience and availability. Practical implications – It gives managers a better understanding of the risks and performance measures that have most influence on others (driving performance measures) and those measures which are most influenced by others (dependent performance measures) in fresh food retail and also a tool to prioritize them. This kind of information is strategic for managers who can use it to identify which performance measures they should concentrate on managing the trade-offs between measures. The findings and the applicability for practical use have been validated by both experts and practicing managers in food retail supply chains. Originality/value – The work is perhaps the first to link supply chain risks with performance and explains the propagation of risks in food retail supply chains. It contributes to theory by addressing a few research gaps and provides relevant managerial insights for practitioners.

How firms' performance mediates the relationship between corporate governance quality and earnings quality?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohammed Adel Elzahaby
Keyword(s):  
Corporate Governance ◽  
Analytical Model ◽  
Performance Measures ◽  
Earnings Quality ◽  
Direct Path ◽  
Content Type ◽  
Indirect Path ◽  
Governance Quality ◽  
Financial Performance Measures ◽  
Corporate Governance Quality

PurposeThe purpose of this study is to propose an analytical model that investigates both a direct path between corporate governance quality and earnings quality and an indirect path, in which firms' performance is a mediating variable that is influenced by corporate governance quality and that, in turn, influences earnings quality.Design/methodology/approachThe study employs a structural equation modelling (SEM), to a sample of Egyptian listed firms during 2011–2017, to test the proposed analytical model and to determine the relative importance of both the direct and indirect paths.FindingsThe findings show a statistically significant evidence of both a direct path from corporate governance quality to earnings quality, and an indirect path that is mediated by firms' performance, suggesting that both corporate governance quality and performance have a complementary effect on earnings quality. However, the weight of the evidence favouring the direct path is more important in case of accounting-based performance measures; and the weight of the evidence favouring the indirect path is more important in case of market-based performance measures.Research limitations/implicationsThe current study has some limitations. First, the study focuses specifically on one proxy for measuring earnings quality which is the absolute value of discretionary accruals. Other proxies of earnings quality could be examined in future research, such as income smoothing, earnings persistence and timely loss recognition. Another limitation is that only financial performance measures were examined, namely, return on assets, return on equity, price-to-earnings ratio and market-to-book value. Notwithstanding, non-financial performance measures could be investigated in future studies, such as balanced scorecard (BSC). Furthermore, considering cultural, political and legislative differences among countries, the results may not be generalised outside the scope of the current sample (i.e. Egyptian listed firms).Practical implicationsThe implications of the findings for both theory and practice are discussed.Originality/valueThis study is distinguished by validating an analytical model that has been overlooked by prior studies. Moreover, it provides a new constructed index for measuring corporate governance quality. Furthermore, it uses a new sophisticated statistical technique, which is SEM, for testing the proposed model.

The mediating role of fairness on the effectiveness of strategic performance measurement systems

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kevin Baird ◽  
Sophia Xia Su ◽  
Nuraddeen Nuhu
Keyword(s):  
Performance Appraisal ◽  
Human Resource ◽  
Performance Measures ◽  
Content Type ◽  
Strategic Performance ◽  
Measurement Systems ◽  
Mediating Role ◽  
Performance Measurement Systems ◽  
Insight Into

PurposeThis study examines the mediating role of the fairness of performance appraisal on the association between the extent of use of strategic performance measurement systems (SPMSs) with SPMS effectiveness.Design/methodology/approachData were collected using an online survey distributed to 656 Australian middle and lower level managers.FindingsThe findings reveal that informational fairness mediates the association between SPMSs (link to value drivers and the use of multidimensional performance measures) with performance-related outcomes; procedural fairness mediates the association between SPMSs (link to strategy and the use of multidimensional performance measures) with staff-related outcomes and distributive fairness mediates the association between the use of SPMSs (all three types) with both performance and staff-related outcomes.Originality/valueThe study provides a unique insight into the importance of fairness (the distributive, informational and procedural fairness of the performance appraisal system) in mediating the associations between the extent of use of SPMSs and SPMS effectiveness. The findings contribute to the human resource management (HRM) “black box” literature by providing an insight into the behavioural mechanism through which a specific human resource management practice (i.e. the SPMS) influences organisational performance.

scholarly journals Business processes exceptions in relation to operational performance

2019 ◽  
Vol 25 (5) ◽  
pp. 908-922 ◽  
Author(s):  
Remco Dijkman ◽  
Oktay Turetken ◽  
Geoffrey Robert van IJzendoorn ◽  
Meint de Vries
Keyword(s):  
Business Process ◽  
Process Model ◽  
Business Processes ◽  
Process Models ◽  
Operational Performance ◽  
Normal Flow ◽  
Throughput Time ◽  
Content Type ◽  
Business Process Models ◽  
Practical Implications

Purpose Business process models describe the way of working in an organization. Typically, business process models distinguish between the normal flow of work and exceptions to that normal flow. However, they often present an idealized view. This means that unexpected exceptions – exceptions that are not modeled in the business process model – can also occur in practice. This has an effect on the efficiency of the organization, because information systems are not developed to handle unexpected exceptions. The purpose of this paper is to study the relation between the occurrence of exceptions and operational performance. Design/methodology/approach The paper does this by analyzing the execution logs of business processes from five organizations, classifying execution paths as normal or exceptional. Subsequently, it analyzes the differences between normal and exceptional paths. Findings The results show that exceptions are related to worse operational performance in terms of a longer throughput time and that unexpected exceptions relate to a stronger increase in throughput time than expected exceptions. Practical implications These findings lead to practical implications on policies that can be followed with respect to exceptions. Most importantly, unexpected exceptions should be avoided by incorporating them into the process – and thus transforming them into expected exceptions – as much as possible. Also, as not all exceptions lead to longer throughput times, continuous improvement should be employed to continuously monitor the occurrence of exceptions and make decisions on their desirability in the process. Originality/value While work exists on analyzing the occurrence of exceptions in business processes, especially in the context of process conformance analysis, to the best of the authors’ knowledge this is the first work that analyzes the possible consequences of such exceptions.

Comparison of ANFIS and FAHP-FGP methods for supplier selection

Kybernetes ◽  
2016 ◽  
Vol 45 (3) ◽  
pp. 474-489 ◽  
Author(s):  
Moloud sadat Asgari ◽  
Abbas Abbasi ◽  
Moslem Alimohamadlou
Keyword(s):  
Performance Measures ◽  
Supplier Selection ◽  
Mean Squared Error ◽  
Selection Process ◽  
Evaluation Criteria ◽  
Absolute Error ◽  
Global Market ◽  
Content Type ◽  
Squared Error ◽  
Fuzzy Delphi

Purpose – In the contemporary global market, supplier selection represents a crucial process for enhancing firms’ competitiveness. This is a multi-criteria decision-making problem that involves consideration of multiple criteria. Therefore this requires reliable methods to select the best suppliers. The purpose of this paper is to examine and propose appropriate method for selecting suppliers. Design/methodology/approach – ANFIS and fuzzy analytic hierarchy process-fuzzy goal programming (FAHP-FGP) are new methods for evaluating and selecting the best suppliers. These methods are used in this study for evaluating suppliers of dairy industries and the results obtained from methods are compared by performance measures such as Mean Squared Error, Root Mean Squared Error, Normalized Root Men Squared Error, Mean Absolute Error, Normalized Root Men Squared Error, Minimum Absolute Error and R2. Findings – The results indicate that the ANFIS method provides better performance compared to the FAHP-FGP method in terms of the selected suppliers scoring higher in all the performance measures. Practical implications – The proposed method could help companies select the best supplier, by avoiding the influence of personal judgment. Originality/value – This study uses the well-structured method of the fuzzy Delphi in order to determine the supplier evaluation criteria as well as the most recent ANFIS and FAHP-FGP methods for supplier selection. In addition, unlike most other studies, it performs the selection process among all available suppliers.

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