The state of the art development of AHP (1979-2017): A literature review with a social network analysis

Although many papers describe the evolution of the analytic hierarchy process (AHP), most adopt a subjective approach. This paper examines the pattern of development of the AHP research field using social network analysis and scientometrics, and identifies its intellectual structure. The objectives are: (i) to trace the pattern of development of AHP research; (ii) to identify the patterns of collaboration among authors; (iii) to identify the most important papers underpinning the development of AHP; and (iv) to discover recent areas of interest. We analyse two types of networks: social networks, that is, co-authorship networks, and cognitive mapping or the network of disciplines affected by AHP. Our analyses are based on 8441 papers published between 1979 and 2017, retrieved from the ISI Web of Science database. To provide a longitudinal perspective on the pattern of evolution of AHP, we analyse these two types of networks during the three periods 1979?1990, 1991?2001 and 2002?2017. We provide some basic statistics on AHP journals and researchers, review the main topics and applications of integrated AHPs and provide direction for future research by highlighting some open questions

The state of the art development of AHP (1979-2017): a literature review with a social network analysis

Although many papers describe the evolution of the analytic hierarchy process (AHP), most adopt a subjective approach. This paper examines the pattern of development of the AHP research field using social network analysis and scientometrics, and identifies its intellectual structure. The objectives are: (i) to trace the pattern of development of AHP research; (ii) to identify the patterns of collaboration among authors; (iii) to identify the most important papers underpinning the development of AHP; and (iv) to discover recent areas of interest. We analyse two types of networks: social networks, that is, co-authorship networks, and cognitive mapping or the network of disciplines affected by AHP. Our analyses are based on 8441 papers published between 1979 and 2017, retrieved from the ISI Web of Science database. To provide a longitudinal perspective on the pattern of evolution of AHP, we analyse these two types of networks during the three periods 1979–1990, 1991–2001 and 2002–2017. We provide some basic statistics on AHP journals and researchers, review the main topics and applications of integrated AHPs and provide direction for future research by highlighting some open questions

An Intelligent Customer Relationship Management (I-CRM) Framework and its Analytical Approaches to the Logistics Industry

This thesis develops a new Intelligent Customer Relationship Management (i-CRM) framework, incorporating an i-CRM analytical methodology including text-mining, type mapping, liner, non-liner and neuron-fuzzy approaches to handle customer complaints, identify key customers in the context of business values, define problem significance and issues impact factors, coupled with i-CRM recommendations to help organizations to achieve customer satisfaction through transformation of the customer complaints to organizational opportunities and business development strategies

RANKING TRAVEL AND TOURISM ENABLERS IN INDIA USING A FUZZY APPROACH

This paper seeks to review the enablers for the Travel & Tourism (T&T) industry in India and to rank these factors. The paper aims to introduce a fuzzy TOPSIS approach for this purpose. The paper begins with a literature review to investigate the significant enablers in the T&T sector. The research was conducted among the tourists in the northern state of Uttarakhand, India which is a famous tourist destination both for adventure and pilgrimage. Fuzzy TOPSIS approach is used to meet the objectives of the study. Required information was gathered through a questionnaire. The results show that Safety & Security, Price, Transport and Infrastructure are the most important factors in Indian context.The paper will be helpful in enabling the T&T industry policy makers to identify the key service factors in the sector and take the improvement measuresThe concept of ranking T&T enablers using a Fuzzy TOPSIS is a new approach. The study is the unique application of a fuzzy approach to examine and rank customer expectations of the T&T enablers in Indian context

A Decision Tool for Supplier Selection That Takes into Account Power and Performance

Companies select their suppliers to provide required performance while being successful partners. An important aspect of collaboration is the power relationship between the company and its suppliers. Although the significance of power in supplier selection is acknowledged, published work rarely includes assessment of power. An empirical study on selecting suppliers for new product developments in a major European diesel engine manufacturing company, supported by three smaller studies with electronic engineering companies, frames overall questions regarding the importance of incorporating power into supplier selection and how this might be achieved. This research proposes an approach that assesses both performance and power and integrates the assessment results by modelling the relative effects of power and performance. It positions the suppliers into six scenarios (ideal, satisfying, tolerable, unfavourable, risky and tough) which depict to what extent a supplier is ‘suitable’ to work with. A reverse analysis reviews the relationship when several suppliers appear suitable. An assessment method is developed incorporating both subjective and objective data for qualitative and quantitative criteria. It combines two decision making methods, AHP and TOPSIS, with triangular fuzzy numbers. Multiple judgements from several decision makers are synthesised. This method is adapted for performance assessment of single, group and cross-group suppliers. Weights are calculated for the criteria, and combined with calculations of supplier performance against each criterion to provide an overall assessment and supplier profile. Power is quantified against a set of power determinants and power relations (supplier dominance, buyer dominance and balanced) are determined. The effects of supplier perceptions (objective, optimistic and pessimistic) are estimated in the calculation. The proposed approach involves complex calculations and a prototype software tool is developed with graphical interfaces. The tool includes performance criteria and power determinants collected from literature and allows users to define new ones. Application to an agriculture case enables the sustainable performance of suppliers (farmers) to be evaluated and compared

Simulation Based-MCDM Approach for Evaluating Traffic Solutions

Traffic congestion problems have dramatically esca-lated with the increasing volume of vehicles, pedestrians, and cyclists in the face of limited road capacity. This re-search aims to reduce the time road users spend in the system (school-zone area) and improve the efficiency of the process of dropping off and collecting children from a crowded school area. The study integrates discrete-event simulation (DES) and multi-criterion decision-mak-ing (MCDM) techniques to comprehensively evaluate the proposed alternatives to select an optimal solution based on many performance measures. A real-world case study of the traffic and congestion problems experienced by parents when they drop off and fetch their children from school during peak hours is presented. A heuristic algorithm was developed to simulate the random and un-predictable behaviour of road users. A cost-benefit anal-ysis considered the impact of waiting time, traffic den-sity, number of accidents, additional fuel expenses, and emission reduction. The technique for order of preference by similarity to ideal solution (TOPSIS) and preference selection index (PSI) methods were utilised to select the most appropriate option for parents. The study found that the integration of simulation techniques with MCDM methods could efficiently solve traffic problems

Occupational Health and Safety (OHS) Issues in Social Marketing

Social marketing has been contributing historically for a better application of public policy, health and safety, environment, education and human rights. Specifically, four major areas that social marketing efforts have focused over the years are health promotion,injurprevention,environmental protection, and community mobilization. Social marketing, at an industrial organization, emphasizes exchange of ideas between the target audience (i.e. the employees) and the marketer (i.e. the employer). This exchange requires that the employees be persuaded to give up the unsafe behaviors that they are accustomed to, to gain an enhanced level of safety with a greater likelihood of preventing injuries in the workplace. In an organizational context, the internal users are treated as customers and marketing inside the organization is an essential part of delivering value to the organization, and ultimately to the end customer. Therefore, effective management strategies are sought to develop the concept of internal marketing with a view to satisfy the employees and in turn, motivate them to do good work and produce a better product or service. The success of any business enterprise largely depends on its manpower with regard to their professional skill level, positive attitude, job satisfaction, and involvement in quality improvement activities. The important aspect of corporate social responsibility (CSR) is the concern for safety and sound health of the workforce, so that employees feel secured and motivated. The concern becomes manifold when the workforce is exposed to menial tasks and occupational risk situations. To make a safe and conducive environment, an organization must build a solid foundation with a clear vision of the future and specific means by which it will achieve the safety mission of the organization. Safety, health and environment systems needs a continual and systematically managed efforts in order to achieve sustainable growth. Presently, many industries are focusing attention on occupational health and safety (OHS) that may help to achieve competitive advantage. This research is concerned with the study of OHS issues in the context of injury prevention social marketing. A detailed study on workplace environment and safety climate makes the implementation of various social marketing principles easier. This may also be useful for the purpose of policy formulation on improving OHS in Indian industries. Three industrial sectors such as construction (Type 1), refractory (Type 2) and steel (Type 3) are considered in this study. These industries are generally viewed as hazardous due to usage of heavy equipment, unsafe and primitive tools, injurious materials and dust produced during operation. The study covers such organizations where size in manpower and investment varies, both organized and unorganized workforce exists, both public and private enterprises exist, and the level of sophistication of tools, methods, and work environment in terms of safety is poor. A study on risk perceptions and understanding of OHS has been conducted in three industrial sectors. Thirty four items are included in the questionnaire through review of related literature and discussion with a focus group. The items are framed to suit the local work practices and culture covering various aspects of OHS. Two hundred eighty eight (or 288) useful responses were tested to examine the validity and reliability of the scale to ensure a quantitative and statistically provenidentification of the responses. The test for quantitative variables was conducted by factor analysis on responses using the principal component method followed by varimax rotation to ensure that the variables are important and suitable for the model using SPSS 16.0. Finally, identified factors were again analyzed using discriminant analysis to highlight statistical difference among practices existing in three sectors. The pattern of influence of input parameters on outputs such as injury level and material damage is difficult to establish, possibly due to existence of some nonlinear relationship among them. Therefore, an artificial neural network (ANN) is adopted to carry out sensitivity analysis and important deficient items have been identified. A comparative evaluation on deficient items among three major types of Indian industries has been made. Quality function deployment (QFD) has been used to develop the system design requirements considering the deficient safety items as voice of customers. The interrelation among the system design requirements is represented in a digraph using Interpretive Structural Modelling (ISM) approach. A predictive methodology for forecasting various types of injuries has been proposed using fuzzy inference system. As fuzzy inference system can be used with little mathematical knowledge and needs only expert knowledge, it can be easily implemented in the field to predict injury types. Further, fuzzy inference system can deal effectively in imprecise and uncertain situations. In order to transfer best practices among various organizations, a benchmarking study has been carried out using data envelopment analysis (DEA). The study finally provides some useful guidelines for the managers for improving safety performance in selected Indian industrial settings

CONTAINER SHIPPING RISK MANAGEMENT: A CASE STUDY OF TAIWAN CONTAINER SHIPPING INDUSTRY

Whilst container shipping has become increasingly important over the past few decades due to its obvious advantages, container shipping companies have faced various risks from different sources in their operations. Systematic academic studies on this topic are few; and in light of this, this study aims to systematically explore and analyse the risks in container shipping operations and to examine the applicable risk mitigation strategies in a logistics perspective, including information flow, physical flow, and payment flow. This thesis uses Taiwan container shipping industry as a case study, and borrows four steps of risk management as the main method, which includes risk identification, risk analysis, risk mitigation strategies identification, and strategies evaluation. In order to ensure the analysis is inclusive and systematic, risk factors and risk mitigation strategies are identified through a related literature review and are validated through a set of interviews. Risk analysis is conducted through using questionnaires, and then through risk ranking, risk matrix, risk mapping, and P-I graph. Risk mitigation strategies are evaluated through classic AHP and fuzzy AHP analysis. A number of significant findings have been obtained. Firstly, 35 risk factors are identified and classified into three categories: risks associated with information flow, risks associated with physical flow, and risks associated with payment flow. After collecting and analysing the risk-factor survey, the results indicate that the risk associated with physical flow has the more significant impact on shipping companies’ operation. However, one risk factor associated with information flow, “shippers hiding cargo information”, has the most significant impact among the 35 risk factors. Secondly, 20 risk mitigation strategies are identified and classified into three categories: intra-organisational strategies, intra-channel strategies, and inter-channel strategies. After collecting the AHP survey and analysing through classic AHP and fuzzy AHP, the result indicates that “slot exchange, slot charter, joint fleet, ship charter with other container shipping companies” is the most important strategy. The main contributions of this thesis include: (1) based on the literature review, there have been no research on risk management in the context of container shipping operation from a broad logistics perspective, and this thesis is the first attempt to fill this research gap; (2) this thesis uses Taiwan shipping industry as a case study to apply the framework, which generates useful managerial insights; (3) the conceptual model of risk management developed in this thesis can be applied to container shipping operations in other countries and regions; (4) compared with several studies using secondary data, this thesis uses empirical data to conduct the risk analysis, and make the results more close to the reality situation in container shipping; (5) in terms of risk analysis, this thesis ranks the total 35 risk factors rather than only identify the most important one, this can be used to be generalised to the whole container shipping companies in Taiwan, or even to the whole world; (6) in terms of risk management, the previous studies usually analyse only the importance of strategies. However, this thesis analyses the results of AHP from three different angles: reducing financial loss, reducing reputation loss, and reducing safety and security incident related loss. This can provide different angles for the managers who are considering different aspects

A decision model to prioritise logistics performance indicators

This thesis was submitted for the award of Doctor of Philosophy and was awarded by Brunel University LondonPerformance measurement is an important concern that has recently attracted much attention in the logistics area from both practitioners and academics. The performance measurement of logistics companies is based upon diverse performance indicators. However, to date, limited attention has been paid to the performance measurement of logistics companies and, also, performance measurement processes have become more complex for logistics companies due to the existence of numerous performance indicators. In this regard, the way in which decision makers in logistics companies deal with some vaguenesses, such as deciding on the most important indicators holistically and determining interrelationships between performance indicators, has remained an issue that needs to be resolved. This study, therefore, aims to offer a comprehensive decision model for identifying the key logistics performance indicators and determining the interrelationships among these indicators from logisticians’ perspective. In line with this purpose, the research first presents a stakeholder-based Balanced Scorecard (BSC) model which provides a balanced view by including financial and non-financial performance indicators and a comprehensive approach as a response to the major shortcoming of the generic BSC regarding the negligence of various stakeholders. Then, a large number of performance indicators used in logistics are systematically examined under the proposed model, and the key indicators are selected through an online survey conducted in the Turkish logistics industry. Subsequently, since the performance measurement indicators are not independent of each other, it is critical to understand the causal relationships among different indicators. In such cases, group decision making techniques are capable of modelling such complexities. After a systematic comparison of these techniques, a realistic and easy-to-follow multi-criteria decision making technique, the Analytic Network Process (ANP), is revealed as a suitably powerful method to determine the interrelationships among the indicators. Additionally, a case study approach based on the data obtained from three logistics companies is used to illustrate both the applicability of the model and the practicality of the ANP application. Furthermore, the sensitivity of the results about the case companies is also analysed with several relevant ‘what-if’ scenarios. Thus, real-life practices of three case companies are investigated with the proposed approach. Consequently, this research proposes the BSC-ANP integration which provides a novel way and in-depth understanding to evaluate logistics performance indicators for the competitiveness of logistics companies. Thus, in order to address the aforementioned vaguenesses, the proposed model in this study identifies key performance indicators with the consideration of various stakeholders in the logistics industry to decide on the most important indicators, and evaluates the interrelationships among the indicators by using the ANP. The results of the study show that the educated employee (15.61%) is the most important indicator for the competitiveness of logistics companies and four prominent indicators (educated employee, managerial skills, cost, and profitability) need to be primarily considered by logistics companies. In this way, with this integration, not only the performance indicators in logistics, but also different stakeholders of logistics companies are assessed by the ANP method. This means that the results of this research are not only useful for helping logistics companies to decide which indicators should be focused on to become more competitive, but also can be used as a reference model by different stakeholders in their decision-making processes in order to select the best logistics provider. Keywords: Performance measurement; logistics performance indicators; balanced scorecard (BSC); analytic network process (ANP); multi-criteria decision making (MCDM); stakeholder

Decision Making Analysis for an Integrated Risk Management Framework of Maritime Container Port Infrastructure and Transportation Systems

This research proposes a risk management framework and develops generic risk-based decision-making, and risk-assessment models for dealing with potential Hazard Events (HEs) and risks associated with uncertainty for Operational Safety Performance (OSP) in container terminals and maritime ports. Three main sections are formulated in this study: Section 1: Risk Assessment, in the first phase, all HEs are identified through a literature review and human knowledge base and expertise. In the second phase, a Fuzzy Rule Base (FRB) is developed using the proportion method to assess the most significant HEs identified. The FRB leads to the development of a generic risk-based model incorporating the FRB and a Bayesian Network (BN) into a Fuzzy Rule Base Bayesian Network (FRBN) method using Hugin software to evaluate each HE individually and prioritise their specific risk estimations locally. The third phase demonstrated the FRBN method with a case study. The fourth phase concludes this section with a developed generic risk-based model incorporating FRBN and Evidential Reasoning to form an FRBER method using the Intelligence Decision System (IDS) software to evaluate all HEs aggregated collectively for their Risk Influence (RI) globally with a case study demonstration. In addition, a new sensitivity analysis method is developed to rank the HEs based on their True Risk Influence (TRI) considering their specific risk estimations locally and their RI globally. Section 2: Risk Models Simulations, the first phase explains the construction of the simulation model Bayesian Network Artificial Neural Networks (BNANNs), which is formed by applying Artificial Neural Networks (ANNs). In the second phase, the simulation model Evidential Reasoning Artificial Neural Networks (ERANNs) is constructed. The final phase in this section integrates the BNANNs and ERANNs that can predict the risk magnitude for HEs and provide a panoramic view on the risk inference in both perspectives, locally and globally. Section 3: Risk Control Options is the last link that finalises the risk management based methodology cycle in this study. The Analytical Hierarchal Process (AHP) method was used for determining the relative weights of all criteria identified in the first phase. The last phase develops a risk control options method by incorporating Fuzzy Logic (FL) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to form an FTOPSIS method. The novelty of this research provides an effective risk management framework for OSP in container terminals and maritime ports. In addition, it provides an efficient safety prediction tool that can ease all the processes in the methods and techniques used with the risk management framework by applying the ANN concept to simulate the risk models