Performance Measure Approach Research Articles

A Hybrid Sustainability Performance Measurement Approach for Fresh Cold Chain Supply Chains

A Hybrid Sustainability Performance Measurement Approach for Fresh Cold Chain Supply Chains

KINERJA LEMBAGA PERKREDITAN DESA (LPD) BERBASIS BALANCED SCORECARD DI KECAMATAN KERAMBITAN-TABANAN

The purpose of this study was to determine the performance of LPD in Kerambitan District from a financial perspective, a customer perspective, an internal business process perspective and a growth and learning perspective. This research is a descriptive quantitative research in which it provides an explanation related to the performance measurement of the Village Credit Institution (LPD) of Kerambitan District by using the Balanced Scorecard performance measurement approach. The results of this study are the average ROA ratio of LPDs in Kerambitan District for 3 (three) years, namely 2017, 2018, 2019 is 2.60% and is categorized as healthy. The average BOPO ratio is 81.38% and is categorized as healthy. The average LDR ratio is 77.37% and is categorized as healthy. It can be seen that the LPD in Kerambitan District has good management capabilities in generating profits from the total assets owned, can perform cost efficiency from the income generated and show increased liquidity capabilities. From the customer perspective, LPD performance in Kerambitan District is assessed based on customer assessments with five indicators, namely the completeness of LPD facilities, LPD employee service, LPD employee alertness, security assurance, and care. sophisticated equipment, forms are not provided and customers still have difficulty in filling out forms, long waiting times in service, and there is no special place for customer complaints. The performance of LPD in Kerambitan District, Tabanan from the customer perspective is of good quality, which is 90.4 percent because the proportion of positive statements is higher than 60 percent. From an internal business perspective, an assessment of the LPD product innovation process is carried out in the District of Kerambitan Tabanan. Of the 12 LPDs in Kerambitan District, there are 7 LPDs that have not innovated their products and 5 LPDs that have innovated their products in the 2017-2019 period. The performance of LPDs in Kerambitan District is still not said to be good, this is because LPDs have not innovated or developed with their products in the last 3 year period, namely 2017- 2019. From the perspective of growth and learning, LPD performance in Kerambitan District is assessed based on the assessment of its employees with four indicators, namely awards given, employee commitment, relationships with colleagues and facilities provided by LPD are of good quality, which is 90.96 percent because the proportion of statements positive is higher than 60 percent. LPD employees in Kerambitan Sub-district, Tabanan were satisfied in all the items measured. These results indicate that the LPDs in Kerambitan Sub-district have managed and developed employees well which are able to improve their work abilities.

A slack-based DEA analysis for the world cup teams

PurposeThis paper aims to assess the efficiency levels of World Cup teams via the slack-based data envelopment analysis (DEA) approach, which contributes to filling an important gap for performance measurement in football.Design/methodology/approachThis study focuses on a comparative analysis of the past two World Cups. The authors initially estimate the efficiency of the World Cup teams via the slack-based DEA approach, which is a novel approach for sports performance measurement. The authors also present the conventional DEA results to compare results. The authors also include improvement ratios, which provide significant details for inefficient countries to enhance their efficiency. Besides, the authors include effectiveness ratings to present a complete performance overview of the World Cup teams.FindingsAccording to the analysis results of the slack-based DEA approach, titleholder Germany and France are found as efficient teams in the 2014 and 2018 World Cup, respectively. Besides, Belgium and Russia recorded the highest efficiency improvement in the 2018 World Cup. The novel approach for sports performance measurement, the slack-based DEA approach, significantly overlaps with the actual performance of teams.Originality/valueThis study presents novelty in football performance by adopting the slack-based DEA with an undesirable output model for the performance measurement of the World Cup teams. This empirical analysis would be a pioneer study measuring the performance of football teams via the slack-based DEA approach.

Fuzzy-AHP approach for performance measurement in shrimp agroindustry

Performance measurement is needed by industry, including the food processing industry. One of the food processing industries is shrimp agroindustry. Performance measurement for shrimp agroindustry is necessary because of competition from similar industries. Performance measurement can be used as a basis for making strategies in decision-making systems. It is one way the shrimp agroindustry survives in market competition. This study aims to determine the performance matrix in the shrimp agroindustry. Fuzzy-AHP is used to design performance measurements. The results of the performance matrix are as follows: efficiency (0.268), quality (0.226), flexibility (0.061), responsiveness (0.120), coordination and collaboration (0.085) and sustainability (0.239).

Development of a framework for safety performance measurement of belt conveyor systems

PurposeThe purpose of this paper is to develop a framework for the safety performance measurement of belt conveyor systems.Design/methodology/approachA structural methodology of graph theory and matrix approach is used for developing a framework for safety performance measurement of belt conveyor systems.FindingsThe development of a framework for safety performance measurement of belt conveyor systems is essential for ensuring plant safety. For this, safety performance factors, including design and operating contextual factors of belt conveyor systems, are identified. The factors along with their interrelations are modeled using digraph. An equivalent matrix of the digraph provided safety performance function (SPF) of belt conveyor systems, leading to the development of a safety performance index (SPI).Practical implicationsThe developed framework will enable the designers for evaluating and comparing alternative designs of conveyor systems from the safety viewpoint. The plant operators can make inferences from the SPI to identify the weak contextual factors in the plant and develop action plans for its mitigation.Originality/valueThe paper is novel and employs graph theory and matrix approach for safety performance measurement. The methodology helps in the quantitative evaluation of the safety performance of belt conveyor systems.

Sustainable food supply chains: overcoming key challenges through digital technologies

PurposeThe purpose of this paper is to offer a consolidative approach in exploring the potential contribution of digital technologies in sustainable supply chain management (SSCM) for the sustainable performance of food supply chain business, through the circular economy concepts.Design/methodology/approachAs a single case study, this qualitative, interpretivist research was based on one of the largest food producers in the United Kingdom. The research utilises semi-structured interviews and applies thematic analysis to offer rich insights into SSCM challenges and their relationship with the business performance, through ten in-depth interviews.FindingsFindings derived from thematic analysis of the interview transcripts suggest four main critical success factors underpinning SSCM practices and businesses performance – i.e. business continuity, waste reduction, performance measurement approach, and organisational learning, which could use the help of digital technologies to improve. This led to seven propositions to be addressed in the future research.Originality/valueThis research offers real, practical insights into SSCM challenges, within the context of food supply chain and explores the potential of digital technologies in overcoming them. Accordingly, the primary contribution of this work is grounded in the identification of critical success factors in SSCM for food supply chains (FSC). Hence, this work contributes further to the literature on SSCM, as well as circular economy, by providing a study of a business in the context of the highly pertinent and valuable food industry.

Uncertainty quantification of quadratically nonlinear local damage size quantification using nonlinear ultrasonics

Backscattered and forward scattered harmonic waves from local damage modeled as quadratically nonlinear material in a 1D bar are used to solve a deterministic inverse problem to find the local damage size by Ghodake (2020). Due to highly nonlinear (|sin(x)/x|) nature of the proposed forward problem, the constrained nonlinear deterministic optimization problem was solved using non-gradient-based algorithms. The forward model is a function of input frequencies, linear wave velocity, and local damage size. In practice, slight uncertainty of these parameters gives a completely different solution. To address this problem, uncertainty quantification of the modified forward problem is carried out along with solving the inverse problem using reliability-based design optimization (RBDO) and Bayesian Inverse (BI) approaches. In RBDO studies, Quantile Monte Carlo (QMC) approach gives more reliable and accurate results in comparison with approaches such as reliability index approach (RIA), performance measure approach (PMA), sequential optimization and reliability assessment (SORA), and inverse first-order reliability method (FORM) integrated with optimization methods such as interior-point (IP) and sequential programming (SQP). Multiple models are solved using the BI approach. Support vector machines regression (SVR), polynomial chaos expansions (PCE), and Kriging surrogate models are used along with RBDO and BI to reduce computational time.

Closed-loop supply chain design for the transition towards a circular economy: A systematic literature review of methods, applications and current gaps

Over the last decade, significant attention has been devoted to Closed-Loop Supply Chain (CLSC) design problems. As such, this review aims at assessing whether the current modelling approaches for CLSC problems can support the transition towards a Circular Economy at a supply chain level. The paper comprehensively assesses the extent to which existing modelling approaches evaluate the performance of supply chains across the complete spectrum of sustainability dimensions. Also, the capability of the current approaches of incorporating strategic, tactical, and operational decisions is considered, along with adopted solution methodologies. As a result, a comprehensive analysis was performed on 254 selected articles. This paper emphasises how most of the current literature in the field is affected by a disconnection between supply chain design and the founding principles of Circular Economy. Specifically, the CLSC literature exhibits a reductionist interpretation of the Circular Economy. CLSC studies focusing on all three dimensions of sustainability are relatively rare, and performance measurement approaches appear to be very much focused on monetary issues. While methodological contributions appear adequate to focus on the non-deterministic nature of CLSC design problems, there is paucity of empirically-grounded research. Coherently, a research agenda is proposed, in order to address the mentioned gaps and increase the relevance of this research field to practice.

A Decoupling Strategy for Reliability Analysis of Multidisciplinary System with Aleatory and Epistemic Uncertainties

In reliability-based multidisciplinary design optimization, both aleatory and epistemic uncertainties may exist in multidisciplinary systems simultaneously. The uncertainty propagation through coupled subsystems makes multidisciplinary reliability analysis computationally expensive. In order to improve the efficiency of multidisciplinary reliability analysis under aleatory and epistemic uncertainties, a comprehensive reliability index that has clear geometric meaning under multisource uncertainties is proposed. Based on the comprehensive reliability index, a sequential multidisciplinary reliability analysis method is presented. The method provides a decoupling strategy based on performance measure approach (PMA), probability theory and convex model. In this strategy, the probabilistic analysis and convex analysis are decoupled from each other and performed sequentially. The probabilistic reliability analysis is implemented sequentially based on the concurrent subspace optimization (CSSO) and PMA, and the non-probabilistic reliability analysis is replaced by convex model extreme value analysis, which improves the efficiency of multidisciplinary reliability analysis with aleatory and epistemic uncertainties. A mathematical example and an engineering application are demonstrated to verify the effectiveness of the proposed method.

Multimodal ellipsoid model for non-probabilistic structural uncertainty quantification and propagation

The traditional ellipsoid convex set is a kind of basic non-probabilistic model to measure uncertainties. However, it is difficult or inaccurate to quantify the uncertainties of variables with multimodal distributed samples. In this paper, a more generalized non-probabilistic ellipsoid model named multimodal ellipsoid model is proposed to effectively deal with the multimodal distributed samples. The samples with one or more similar properties are clustered together, and the principal directions of the samples and characteristic matrix are appropriately found through the Gaussian mixture model. Then, the multimodal ellipsoid model can be constructed by using the elliptical contour features of the Gaussian model to measure the uncertainties of variables. The proposed multimodal ellipsoid model can not only establish traditional ellipsoid model, but also establish multi-ellipsoid model for uncertain variables with multimodal samples. Furthermore, combining with the multimodal ellipsoid model and performance measure approach, the uncertain propagation results of system are obtained accurately. Three numerical examples and one engineering application are provided to demonstrate the effectiveness and accuracy of the proposed multimodal ellipsoid model.

Strategic Performance Measurement and Balanced Scorecard Approach in Egyptian Travel Agencies: A Proposed Empirical Model

Given the changing nature of the tourism industry, Egyptian travel agencies need to sophisticated performance measurement systems. The Balanced Scorecard (BSC) is a tool that helps organizations achieve excellence in their performance and improve their financial results. This paper contributes to a deep understanding of the BSC and its application in Egyptian travel agencies. The purpose of this paper is to clarify the importance of BSC perspectives for achieving the desired financial results. Furthermore, the research shows that social responsibility contributes to financial performance improvement and achieves customer satisfaction, reputation, and competitive advantage. Three hundred questionnaire forms were collected from travel agencies managers. Besides, ten interviews were conducted with tourism experts to provide a deep understanding of the BSC perspectives application. The Statistical Package for Social Sciences (SPSS) version 26 was used for analyzing data. The final results reported that the BSC and its perspectives are applicable inEgyptian travel agenciesunknowingly. There is the direct and indirect causal effect of the learning and innovation perspective, internal processes perspective, social responsibility perspective, and customer perspective on the financial perspective. Finally, the research proposed a new model for adopting the BSC as a tool for Strategic Performance Measurement (SPM). The paper recommends that Egyptian travel agencies need to establish a dedicated team to assess the importance and benefits of adopting the BSC model. Moreovere, it needs to integrate the social responsibility perspective with other BSC perspectives for achieving the customer's satisfaction, the quality, and the competitive advantage.

Reliability-based multidisciplinary concurrent design optimization method for complex engineering systems

Reliability-based multidisciplinary design optimization (RBMDO) has been considered as an efficient technology for addressing complex engineering design optimization problems under uncertainties. Current RBMDO methods, however, perform design optimization either in a sequential manner or in an all-at-once manner, which does not support design autonomy in various disciplines and has low computational efficiency. In this article, a reliability-based multidisciplinary concurrent design optimization (RBMCDO) method is proposed to solve the problems of lack of design autonomy and low computational efficiency in current RBMDO methods. In RBMCDO, the multidisciplinary reliability constraints are first transformed into deterministic constraints using the multidisciplinary probabilistic constraint transformation method, developed in this work based on the performance measure approach and Karush–Kuhn–Tucker conditions. The RBMDO problem is then decomposed into several optimization problems of a single discipline, which are solved in parallel based on the collaborative optimization strategy. Two examples are used to verify the proposed method.

On Performance Measurement Approach for the Connected and Automated Transportation Networks

Different Performance Measures could be applied to Urban Road Networks controlled and operated by Connected and Automated Transportation (CAT) Smart Systems for the purpose of verification “Whether CAT technology based System helped in the improving of traffic situation and reducing of congestion”. Without engaging with Performance Measurement approach there is no valid justification supporting the use of CAT based Systems at Urban Road Networks. Presented here Forum Article purely indicates few (commonly known) ideas and conclusions, possibilities and facts related to the above topic as one of the first steps in inviting Transport Research Community to study this domain of scientific problems.

A hybrid adaptive Kriging-based single loop approach for complex reliability-based design optimization problems

The study proposed a hybrid adaptive Kriging-based single loop approach (HAK-SLA) to prevent the conventional single loop approach (SLA) from being less efficient, converging to an inaccurate solution or encountering significant difficulty in convergence when dealing with complex RBDO problems with highly nonlinear constraints. The procedural strategy here is to apply surrogate modeling approach in SLA, in which the constraints were surrogated specifically by Kriging models updated using most probable points (MPPs) in each loop. Since the MPPs obtained directly from the Kriging-based SLA may be insufficiently accurate, two different enhanced chaos control methods are developed here to obtain robustly accurate MPPs. Nonetheless, searching for accurate MPPs would increase considerable computational cost; thus, a criterion combining Karush-Kuhn-Tucker (KKT) optimality condition of performance measure approach (PMA) with Kriging model is utilized to determine whether it is necessary to update the Kriging models using accurate MPPs. When the criterion is satisfied, the accurate MPPs are then used to update Kriging models. In this study, performance of the proposed HAK-SLA is demonstrated by comparing with the other conventional RBDO methods through five illustrative RBDO examples. The results exhibit that the proposed approach is of high efficiency and robustness in solving complex RBDO problems.

BALANCED SCORECARD (BSC) AS A STRATEGIC PERFORMANCE MANAGEMENT TOOL: APPLICATION IN A MULTINATIONAL BANK

The purpose of this study is to reveal a successful application process of Balanced Scorecard (BSC) method as a strategic performance measurement approach. In this study, theoretical information is given regarding the Balanced Scorecard (BSC) method which is one of the most modern methods. Additionally, the implementation of the BSC method, as a strategic performance management tool, will be explained in detail by a real practice example in a multinational bank in Turkey. The creation of the main structure of the BSC system and interlinkages with the company strategies, the establishment and roles of business unit, the creation of scorecards and KPIs, detailed definition of the KPIs, the establishment of IT-Aided BSC Management System and finally reporting of the scorecards is shown with real examples. The real case example shows that the multinational bank using the BSC method succeeded its strategic objectives by raising their rankings in the banking sector of Turkey from 24th place in 2010 to 10th place in 2020. Providing such information, this study would be a beneficial example of contributing the academic field and supporting the business organizations to apply the BSC in their strategic management processes.1 Dr. Öğr. Üyesi, Erciyes Üniversitesi, Kayseri MYO, ssumerli@kayseri.edu.tr, Kayseri/Türkiye2 Dr.

A novel interval linear programming based on probabilistic dominance

This study investigates a novel interval linear programming based on probabilistic dominance. Firstly, the definition of interval linear programming is briefly reviewed. Then a new interval linear programming model is presented based on probabilistic dominance. The probabilistic dominance index treats the intervals as uniformly distributed variables and the interval inequality relation is further defined by probability. To deal with non-linearity in probabilistic dominance index, sequential quadratic programming is used to solve the problem and the performance measure approach is proposed to overcome the convergence difficulties. The determination and sensitivity analysis of the target performance measure are discussed to assess the sequential quadratic programming algorithm. Meanwhile, the extension of the proposed method to fuzzy interval linear programming is discussed. Furthermore, the proposed method is applied to the design of the plane truss structure with interval parameters. Finally, the effectiveness and rationality of the developed method are demonstrated by two mathematical examples and one interval parametric plane truss structure optimization example.

Reliability-based topology optimization for freely vibrating continuum structures with unknown-but-bounded uncertainties

This study investigates a novel reliability-based topology optimization framework to determine optimal material configurations for freely vibrating continuum structures with unknown-but-bounded uncertainties. Firstly, the optimization formulation for freely vibrating continuum structures with fundamental eigenfrequency and eigenfrequency gap constraints is described. Uncertainty quantification analysis is conducted to determine the feasible bounds of the natural eigenfrequencies under unknown-but-bounded uncertainties. For safety reasons, the non-probabilistic reliability concept is introduced in the optimization model and the performance measure approach is proposed to overcome the convergence difficulties. Meanwhile, the sensitivity analysis is further discussed based on the chain rule, in which the sensitivities of the target performance measure to the bounds of eigenfrequencies are calculated and the sensitivities of the eigenfrequencies with respect to the design variables are deduced. Numerical examples are eventually given to demonstrate the validity of the developed reliability-based topology optimization methodology.

Impact of Social Media Marketing on Business Performance: A Hybrid Performance Measurement Approach Using Data Analytics and Machine Learning

This article systematically applies machine learning and data envelopment analysis (DEA) to analyze Twitter messages, Twitter metrics, and organizational financial metrics to gain insights into impactful messaging typology on social media network. Automated machine learning is employed for the classification of tweets of select US Furniture Retail Stores while various DEA models are utilized to analyze multiple input metrics to obtain an efficiency ranking for the selected brands. Based on these analyses, the article discusses the implications of the findings for small and medium-sized enterprise marketing managers at the industry level. Recommendations for industry practice are also provided in addition to the directions regarding future research.

APPLICABILITY OF SCOR-BASED DEA PERFORMANCE MEASUREMENT IN SMALL MED-SIZE ENTERPRISES

This paper aims to test the applicability of a SCOR-based DEA benchmarking approach for SMEs in Indonesia, due to the increasing call for suitable supply chain performance measurement in the context of SMEs. An input-oriented DEA assuming both CRS and VRS was employed by deriving a set of metrics from the SCOR attributes. A sample of 16 SME convenience stores was selected for the illustration. Results show that the SCOR-based DEA provided a simple groundwork for supporting SME managerial decision making in terms of administering concise feedbacks and identifying directions to venture on. Moreover, analysis results alluded to a distinct, more comprehensive assessment of performances as opposed to that of traditional measurements that is prominent among SMEs. The distinct, comprehensive insights from the analysis may engage SMEs into taking up the more innovative performance measurement approach. Moreover, better awareness of supply chain metrics is foreseen. The SCOR-based DEA provided a unique approach to meet the conformance of Indonesian SMEs in regard to supply chain performance measurement.
 

Resampling method for reliability-based design optimization based on thermodynamic integration and parallel tempering

In this paper, a fully decoupled simulation method is proposed for reliability-based design optimization (RBDO) based on thermodynamic integration and parallel tempering (TIPT). We show that the failure probability function and its gradient can be obtained simultaneously with once generalized reliability analysis, and thus the RBDO problem is converted to the traditional optimization problem efficiently. Firstly, the design parameters are deemed as uniformly distributed random variables, and an auxiliary probability density function (PDF) of random design variables is constructed to cover its whole parameter space. Then, based on thermodynamic integration, the estimation of failure probability is converted to a series of simple integration problems with smooth integrand, and they are estimated by running multiple Markov chains using the so-called parallel tempering method. Finally, importance sampling (IS) is used to estimate the failure probability function and its gradient, and the IS samples are obtained by resampling from the existing Markov chains without extra computation. The proposed method is tested with severa benchmarks, and the results show that it provides robust solution for problems with various nonlinear constraints compared to other popular methods, include double-loop Monte Carlo simulation (MCS), Quantile MCS, sequential optimization and reliability assessment, performance measure approach and reliability index approach.