Decision analysis of warehouse productivity performance indicators to enhance logistics operational efficiency

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Noorul Shaiful Fitri Abdul Rahman ◽  
Nur Hazwani Karim ◽  
Rudiah Md Hanafiah ◽  
Saharuddin Abdul Hamid ◽  
Ahmed Mohammed
Keyword(s):  
Analytical Hierarchy Process ◽  
Performance Indicators ◽  
Theory Approach ◽  
Analysis Model ◽  
Content Type ◽  
Highest Weight ◽  
Criterion Space ◽  
Fuzzy Logic Method ◽  
Productivity Indicators ◽  
Hierarchy Process

PurposeThe warehouse industry is one of the backbones in the logistics operation which involves several activities i.e. storage, receiving, picking and shipping of goods/cargoes. This study analyzes the most important warehouse productivity indicators for improving warehouse operation efficiency.Design/methodology/approachThis study presents an empirical methodology of the fuzzy analytical hierarchy process (FAHP) method, an integration between the fuzzy logic method with an analytical hierarchy process (AHP) method incorporated with the adoption of quantitative and systems theories under the modern management theory approach.FindingsThe results indicate that the weight values of the main criteria which lead by the criterion “Space (0.4005)” at the top ranking, followed by Information System (0.2445), Labor (0.2065) and Equipment (0.1484). In addition, the weight values and ranking of the 16 sub-criteria are also highlighted which the sub-criterion “Warehouse Management System (0.2445)” scores the highest weight value and followed by Storage Space Utilization (0.1043) and Throughput (0.0722) accordingly.Research limitations/implicationsFinally, this research contributed to enrich the literature, while highlighting a series of recommendations on the top three most significant productivity performance indicators that can be useful in further research.Originality/valueA generic analysis model developed with the adoption of three study theories: quantitative, system and productivity theories.

POTENSI PENGEMBANGAN SADE SEBAGAI DESA WISATA LOMBOK

2016 ◽  
Vol 20 (2) ◽  
pp. 69-82
Author(s):  
W. Suprihatin ◽  
H. Hailuddin
Keyword(s):  
Analytical Hierarchy Process ◽  
Environmental Aspect ◽  
Priority Level ◽  
Highest Weight ◽  
Local Tradition ◽  
Tourist Village ◽  
Hierarchy Process ◽  
Initial Pattern

The background of the problems in this study is the decreasing quality of Sade hamlet amid rising tourist arrivals. From the environmental aspect, the conditions of the hamlet began to decline, in which the initial pattern of Sade has started a lot of changes towards the deficient and began to leave the local tradition. One effort to improve the condition of Sade hamlet in social, cultural and the environmental aspect is through the formulation of a sustainable structuring, the presence and identity maintaining and making a sustainable Tourism Village. Through analysis of AHP (Analytical Hierarchy Process) by collecting the perceptions of some experts through interviews and questionnaires, obtained by weighting the priority of the experts, namely the preservation of culture as an element of priority-level goals to be achieved in the development of Sade Hamlet as a tourist village at 0,476. While the determination of the level of the main criteria in the achievement of these objectives is the highest weight while maintaining a typical village environment at 0.319. Priority strategies that get the highest weight of the experts is that Sade Hamlet Revitalization with a priority weighting of 0.583. The second priority is the relocation of Hamlet at 0.235. Lowest weighting or last priority is Replication Sade Hamlet at 0.182.

THE INTEGRATION OF ANALYTICAL HIERARCHY PROCESS AND DATA ENVELOPMENT ANALYSIS IN A MULTI-CRITERIA DECISION-MAKING PROBLEM

2006 ◽  
Vol 05 (02) ◽  
pp. 263-276 ◽  
Author(s):  
NORITA AHMAD ◽  
DANIEL BERG ◽  
GENE R. SIMONS
Keyword(s):  
Decision Making ◽  
Data Envelopment Analysis ◽  
Analytical Hierarchy Process ◽  
Data Envelopment ◽  
Multi Criteria Decision Making ◽  
Analysis Model ◽  
Decision Tool ◽  
Manufacturing Enterprises ◽  
Decision Making Problem ◽  
Hierarchy Process

This research focuses on developing a model that can be used to assess the performance of Small to Medium-Sized Manufacturing Enterprises (SMEs). The model will result from the integration of a decision tool called the Analytical Hierarchy Process (AHP) and a data analysis model called Data Envelopment Analysis (DEA). This research demonstrates that by eliminating flaws and taking advantage of each methodology's specific characteristics in identifying and solving problems, the new integrated AHP/DEA model appears to be a logical and sensible solution in multi-criteria decision-making problem.

Facilitating quality project manager selection for Indian business environment using analytical hierarchy process

2018 ◽  
Vol 35 (6) ◽  
pp. 1177-1194
Author(s):  
Keshav Kumar Sharma ◽  
Anup Kumar
Keyword(s):  
Analytical Hierarchy Process ◽  
Selection Criteria ◽  
Business Environment ◽  
Project Manager ◽  
Relative Importance ◽  
Content Type ◽  
Organizational Skills ◽  
Manager Selection ◽  
Hierarchy Process ◽  
Selection Of

PurposeThe purpose of this paper is to develop criteria for project manager selection based on desired skills of a project manager and facilitate the selection of a suitable candidate from a pool of potential candidates for the implementation of projects in the Indian context.Design/methodology/approachThe study utilizes three major skills, namely human skill, conceptual and organizational skills; technical skill along with their sub-skills to develop criteria for project manager selection. Based on the responses of project professionals from industry, the study uses analytical hierarchy process to prioritize and identify the relative importance of different skills in the criteria in order to develop a hierarchical structure for project manager selection.FindingsThe study finds that at the first level of project manager selection criteria, conceptual and organizational skills are the most important selection criteria followed by human skills and technical skills. At the second level of project manager selection criteria, planning, delegating authority and understanding methods, processes, and procedures are some of the important sub-selection criteria. The weights indicating the relative importance of major selection criteria and sub-selection criteria can be used to evaluate the relative weight of a given candidate for selection as a project manager.Research limitations/implicationsThe results in this study are derived from specific demographic conditions in India. Future research with larger samples from other countries is needed for generalizations of the proposed criteria.Practical implicationsThe proposed method quantifies the intangible qualitative criteria to select a project manager, which can aid decision-makers in a multi-criteria decision-making environment.Originality/valueThis research paper is focused on the identification of critical skills for the selection of a project manager, which is almost neglected by the researchers.

Evaluating and prioritizing hospital service quality

2019 ◽  
Vol 32 (2) ◽  
pp. 332-346 ◽  
Author(s):  
Ahmad Torkzad ◽  
Mohammad Ali Beheshtinia
Keyword(s):  
Service Quality ◽  
Analytical Hierarchy Process ◽  
Hybrid Methods ◽  
Public Hospitals ◽  
Digital Logic ◽  
Ideal Solution ◽  
Hospital Service ◽  
Content Type ◽  
Copeland Method ◽  
Hierarchy Process

Purpose Hospital evaluations create competition between healthcare providers. In this study, a multi criteria decision-making (MCDM) method is used to evaluate criteria that affect hospital service quality. The paper aims to discuss these issues. Design/methodology/approach Criteria affecting hospital service quality are identified. Four Iranian public hospitals are evaluated using these criteria. Four hybrid methods, including modified digital logic–technique for order of preference by similarity to an ideal solution, analytical hierarchy process–technique for order of preference by similarity to an ideal solution, analytical hierarchy process–elimination and choice expressing reality and modified digital logic–elimination and choice expressing reality are used to evaluate hospital service quality. Results are aggregated using the Copeland method and final ranks are determined. Findings The four main criteria for evaluating hospital service quality are: environment; responsiveness; equipment and facilities; and professional capability. Results suggest that professional capability is the most important criterion. The Copeland method, used to integrate four MCDM hybrid methods, provides the final hospital ranks. Practical implications The criteria the authors identified and their weight help hospital managers to achieve comprehensive organizational growth and more efficient resource usage. Moreover, the decision matrix helps managers to identify their strengths and weaknesses. Originality/value New and comprehensive criteria are proposed for hospital quality assessments. Moreover, a new hybrid MCDM approach is used to achieve final hospital rankings.

An investigation of barriers to waste management techniques implemented in Indian manufacturing industries using analytical hierarchy process

2020 ◽  
Vol 17 (1) ◽  
pp. 58-70
Author(s):  
Harsimran Singh Sodhi ◽  
Doordarshi Singh ◽  
Bikram Jit Singh
Keyword(s):  
Waste Management ◽  
Analytical Hierarchy Process ◽  
Design Methodology ◽  
Manufacturing Sector ◽  
Management Technique ◽  
Content Type ◽  
Manufacturing Organizations ◽  
Management Techniques ◽  
Manufacturing Organization ◽  
Hierarchy Process

Purpose The purpose of this paper is to identify the various barriers in the implementation of waste management techniques in manufacturing organizations. Design/methodology/approach In this study, 121 SMEs of the manufacturing sector have been extensively surveyed, to assess the relative impact of barriers in the waste management technique in a manufacturing organization. Further, analytical hierarchy process (AHP) has been used to identify the most significant barriers. Findings Major barriers in the implementation of a waste management technique in a manufacturing organization have been identified and their weightage has been calculated through the AHP model. Originality/value This study will assist the floor managers in manufacturing organizations to identify the major barriers and to plan accordingly for the adequate implementation of waste management technique.

Triple bottom line performance evaluation of reverse logistics

2016 ◽  
Vol 26 (3) ◽  
pp. 289-310 ◽  
Author(s):  
Saurabh Agrawal ◽  
Rajesh Kr Singh ◽  
Qasim Murtaza
Keyword(s):  
Performance Evaluation ◽  
Performance Measures ◽  
Analytical Hierarchy Process ◽  
Reverse Logistics ◽  
Triple Bottom Line ◽  
Fuzzy Analytical Hierarchy Process ◽  
Bottom Line ◽  
Content Type ◽  
Performance Indexes ◽  
Hierarchy Process

Purpose The paper aims to incorporate the relationship of reverse logistics into the economic, environmental, and social sustainability, known as triple bottom line and developed a framework for reverse logistics performance evaluation. Design/methodology/approach The performance measures, based on triple bottom line approach, were selected, and fuzzy analytical hierarchy process and extent analysis approach was applied for estimating the weights, global weights of performance measures and hence, the reverse logistics performance index. Reverse logistics performance of three electronic companies were evaluated and compared for the demonstration of the methodology. Findings The results show that economic performance has highest performance index followed by environmental performance and social performance. “Recapturing value” and “return on investment” from economic, “minimum energy consumption” and “optimum use of raw material” from environmental and “community complaints” and “customer health and safety” from social perspective have higher performance indexes. Over all, “reduced packaging”, “use of recycled material” and “employee benefits” show very poor performance indexes. Research Limitations/implications The study will provide useful guidance to the academicians and practitioners for evaluating, improving and benchmarking the reverse logistics performance. Originality/value The analysis adds to the very few studies on triple bottom line aspects of reverse logistics and its performance evaluation. Also, fuzzy analytical hierarchy process and extent analysis is used first time being an efficient tool to tackle the fuzziness of the data involved in performance evaluation.

Performance measurement in developing countries

2019 ◽  
Vol 27 (7) ◽  
pp. 32-34
Keyword(s):  
Developing Countries ◽  
Analytical Hierarchy Process ◽  
Reading Time ◽  
Feasibility Analysis ◽  
Content Type ◽  
Pertinent Information ◽  
Traditional Performance ◽  
Hierarchy Process ◽  
Practical Implications ◽  
Process Method

Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings Traditional performance evaluation looks at cost, time and quality. Public private partnerships (PPPs) are complex and need broader measures of evaluation, especially in developing countries. An analytical hierarchy process method was used in Bangladesh to investigate key performance areas (KPAs) and indicators of PPPs. Weightings were used to find performance scores. Financing was the most significant KPA and feasibility analysis was the most significant indicator. Different indicators and weightings can be seen to be different for different countries. Originality The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

Hierarchy the sectorial performance indicators for Brazilian franchises

2015 ◽  
Vol 21 (1) ◽  
pp. 190-204
Author(s):  
Alvaro Luiz Neuenfeldt Júnior ◽  
Julio Cezar Mairesse Siluk ◽  
Marlon Soliman ◽  
Elpídio Oscar Benitez Nara ◽  
Liane Mahlmann Kipper
Keyword(s):  
Performance Indicators ◽  
Multiple Criteria Decision Making ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Measurement Systems ◽  
Scientific Papers ◽  
Performance Measurement Systems ◽  
Hierarchy Process ◽  
Level Of Importance ◽  
Practical Implications

Purpose – The purpose of this paper is to study the level of importance existing among the indicators that were previously defined for a Performance Measurement Systems (PMS) and are relative to franchises in Brazil, using the Analytic Hierarchy Process (AHP) methodology, together with a series of tests, which are responsible by verifying the degree of reliability, robustness and stability of the parameters used and the results obtained. As a result, the author suggests that the diagnosing of the five delimited indicators have different relevance assigned to them. Design/methodology/approach – This paper reviews extant literatures in Franchise, PMS, Multiple Criteria Decision Making (MCDM), in specific the theory about AHP. Findings – The authors found that it was possible justified, for both the relative and the evaluative method, that the I3 was the main point of the system and, as a consequence, be considered as priority when talking about sectorial development of franchises in Brazil. As for the other indicators, even being located in a level lower than I3, they must be taken into contemplation in these measurements, however, with a relatively inferior importance degree. Practical implications – It was possible to better comprehend which economics and non-economic factors selected have a more predominance in the Brazilian franchise context, according to characteristics of the companies present. Originality/value – The absence of scientific papers that describe the relevance level of the main factors that influence in the Brazilian franchise system.

Analytical Hierarchy Process Model Applied to Port Urban Logistics Efficiency Commentary

2011 ◽  
Vol 345 ◽  
pp. 41-45 ◽  
Author(s):  
Xin Long Jiao
Keyword(s):  
Analytical Hierarchy Process ◽  
Process Model ◽  
Evaluation Method ◽  
Fuzzy Theory ◽  
Analysis Model ◽  
Weighting Method ◽  
Index Weight ◽  
Hierarchy Process ◽  
Factor Set ◽  
Process Method

This paper aims to construct analysis model of port urban logistics arrangement using Delphi and analytical hierarchy process method, furthermore, establishment of fuzzy theory and analytical hierarchy process model and factor set. And calculate every index weight with the weighting method--Gl based on differential principle and appraise comprehensive efficiency using fuzzy theory and analytical hierarchy process evaluation method. Using the average weighting method make quantitative disposal with indexes of appraisal factors and educes port urban logistics comprehensive efficiency outcome. And in so doing，validating Shanghai port urban logistics competitiveness actually which respects its efficiency status.

scholarly journals Integrated analytical hierarchy process and grey relational analysis approach to measure supply chain complexity

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sujan Piya ◽  
Ahm Shamsuzzoha ◽  
Mohammed Khadem ◽  
Mahmoud Al Kindi
Keyword(s):  
Mathematical Model ◽  
Supply Chain ◽  
Analytical Hierarchy Process ◽  
Grey Relational Analysis ◽  
Extensive Literature ◽  
Content Type ◽  
Relational Analysis ◽  
Grey Relational ◽  
Hierarchy Process

PurposeThe purpose of this paper is to understand the drivers that create complexity in the supply chain and develop a mathematical model to measure the level of supply chain complexity (SCC).Design/methodology/approachThrough extensive literature review, the authors discussed various drivers of SCC. These drivers were classified into five dimensions based on expert opinion. Moreover, a novel hybrid mathematical model was developed by integrating analytical hierarchy process (AHP) and grey relational analysis (GRA) methods to measure the level of SCC. A case study was conducted to demonstrate the applicability of the developed model and analyze the SCC level of the company in the study.FindingsThe authors identified 22 drivers of SCC, which were further clustered into five complexity dimensions. The application of the developed model to the company in the case study showed that the SCC level of the company was 0.44, signifying that there was a considerable scope of improvement in terms of minimizing complexity. The company that serves as the focus of this case study mainly needs improvement in tackling issues concerning government regulation, internal communication and information sharing and company culture.Originality/valueIn this paper, the authors propose a model by integrating AHP and GRA methods that can measure the SCC level based on various complexity drivers. The combination of such methods, considering their ability to convert the inheritance and interdependence of drivers into a single mathematical model, is preferred over other techniques. To the best of the authors' knowledge, this is the first attempt at developing a hybrid multicriteria decision-based model to quantify SCC.

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