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The purpose of the study is to establish the relationship between public health sector performance (PHSP), fleet management system, perceived service quality (PSQ) and management style (MS).

A total of 260 managerial employees were randomly selected from 5 major public hospitals in Zimbabwe to participate in this cross-sectional survey.

Fleet management system was found to positively influence both PSQ and PHSP. The results indicated that PSQ has a positive effect on PHSP. MS was found to moderate the effect of fleet management system on both PSQ and PHSP.

The current study provides fresh insights and validates extant knowledge on PHSP, fleet management and PSQ within the public health sector departments. It extends further knowledge on the public health performance in the Sub-Saharan region, as it shows that dimensions on fleet management have a direct influence on PHSP.

The purpose of this study is to investigate the best fleet for a new purchase based on multi-objective optimization on the basis of ratio (MOORA), reference point and multi-MOORA methods. This study further identifies critical parameters for fleet performance monitoring and exploring optimum range of critical parameters using Monte Carlo simulation. At the end of this study, fleet maintenance management and operations have been discussed in the perspectives of risk management.

Fleet categories and fleet performance monitoring parameters have been identified using the literature survey and Delphi method. Further, real-time data has been analyzed using MOORA, reference point and multi-MOORA methods. Taguchi and full factorial design of experiment (DOE) are used to investigate critical parameters for fleet performance monitoring.

Fleet performance monitoring is done based on fuel consumption (FC), CO₂ emission (CE), coolant temperature (CT), fleet rating, revenue generation (RG), fleet utilization, total weight and ambient temperature. MOORA, reference point and multi-MOORA methods suggested the common best alternative for a particular category of the fleet (compact, hatchback and sedan). FC and RG are the critical parameters for monitoring the fleet performance.

The geographical aspects have not been considered for this study.

A pilot run of 300 fleets shows saving of Rs. 2,611,013/- (US$36,264.065), which comprises total maintenance cost [Rs. 1,749,033/- (US$24,292.125)] and FC cost [Rs. 861,980/- (US$11,971.94)] annually.

Reduction in CE (4.83%) creates a positive impact on human health. The reduction in the breakdown maintenance of fleet improves the reliability of fleet services.

This study investigates the most useful parameters for fleet management are FC, CE, CT. Taguchi DOE and full factorial DOE have identified FC and RG as a most critical parameters for fleet health/performance monitoring.

Fleet management is a key function in humanitarian organizations, but is not always recognized as such. This results in poor performance and negative impacts on the organization. The purpose of this paper is to demonstrates how the UN High Commissioner for Refugees (UNHCR) managed to substantially improve its fleet management through the introduction of an Internal Leasing Program (ILP), in which headquarters procures vehicles and leases them to field offices.

This paper develops a framework for fleet management based on a longitudinal case study with UNHCR. It compares fleet performance indicators before and after implementation of an ILP.

At UNHCR, vehicle procurement was driven by availability of funding. Fleet management was highly decentralized and field offices had limited awareness of its importance. These systems and behaviors led to major challenges for the organization. The introduction of the ILP positively impacted fleet management at UNHCR by reducing fleet size, average age of fleet and procurement costs.

This paper provides fleet managers with a tool for analyzing their fleet. The frameworks and actions described in this paper contain practical recommendations for achieving a well-performing fleet.

This paper is the first to analyze fleet management before and after introduction of an ILP. It describes the benefits of this model based on empirical data, and develops frameworks to be used by researchers and practitioners.

The purpose of this paper is to show how the changing interrelationships between fleet management, human resources and outsourcer capacity areas are likely to counterbalance managerial policies, thereby generating a performance decay. The use of system dynamics modelling in a waste collection company offered an effective contribution to support decision makers to overcoming myopic decisions.

Literature review and a case study analysis (including interviews with company actors and data gathering) offered the basis to build a system dynamics model. The model built was then used to run simulations sessions to assess alternative investments decisions.

Simulation results show that understanding cause-and-effect relationships between company sub-systems can help managers to shift the focus of their decision process from a single department to the whole business system. Further, the paper offers three alternative scenarios (myopic, reactive and proactive) from which to learn how to design effective long-term sustainable policies.

The simulation model was developed based on a literature review and a single-case study. Although it offers a useful contribution in the investigated case, to generalise its results, additional application to waste collection companies would be desirable.

The findings of the study have implications for public decision makers and those scholars investigating how to discourage the adoption of myopic decisions in complex environments.

To the best of our knowledge, only few studies investigated how the fleet management is likely to impact on the performance of waste collection companies. This study offers a contribution in this direction.

The purpose of this paper is to present the prerequisites for a part-out-based spares provisioning (PBSP) programme during the phase-out of an aircraft fleet. Furthermore, associated key decision criteria are identified and a framework for the phase-out management process is presented.

Once a decision has been taken to phase-out an aircraft fleet, a number of routines for operations, maintenance and storage are affected and new tasks and functions must be introduced before initiating the actual parting-out process. A decision-making system and a management framework is needed to manage spares planning during the end-of-life phase to ensure availability at minimum cost and to ensure a manageable risk of backorders.

For PBSP programme during the phase-out of an aircraft fleet to succeed and be cost-effective, a number of linked processes, tasks and decisions are required, e.g., those included in the framework proposed in this paper (see Figure 3). A successful implementation of PBSP also requires that these processes and tasks are carried out in a timely manner and that the communications between the concerned parties are prompt, clear and direct. One experience from the studied case is that close and trustful contacts and cooperation between the operator and maintenance provider(s) will greatly facilitate the process.

Although the PBSP method is fairly commonly applied within both the military and the civilian sector, somewhat surprisingly very literature has been published on the subject. Indeed, remarkably little has been published on any aspects of maintenance during the end-of-life period.

The purpose of this paper is to develop an original model and a solution procedure for solving jointly three main strategic fleet management problems (fleet composition, replacement and make-or-buy), taking into account interdependencies between them.

The three main strategic fleet management problems were analyzed in detail to identify interdependencies between them, mathematically modeled in terms of integer nonlinear programing (INLP) and solved using evolutionary based method of a solver compatible with a spreadsheet.

There are no optimization methods combining the analyzed problems, but it is possible to mathematically model them jointly and solve together using a solver compatible with a spreadsheet obtaining a solution/fleet management strategy answering the questions: Keep currently exploited vehicles in a fleet or remove them? If keep, how often to replace them? If remove then when? How many perspective/new vehicles, of what types, brand new or used ones and when should be put into a fleet? The relatively large scale instance of problem (50 vehicles) was solved based on a real-life data. The obtained results occurred to be better/cheaper by 10% than the two reference solutions – random and do-nothing ones.

The methodology of developing optimal fleet management strategy by solving jointly three main strategic fleet management problems is proposed allowing for the reduction of the fleet exploitation costs by adjusting fleet size, types of exploited vehicles and their exploitation periods.

Road trauma remains a significant concern internationally. Traffic crashes rank within the top three leading causes of death for individuals aged between 15–44 years old, with nonfatal casualties occurring at around 30 times the rate of fatal incidents. Historically, road safety research has not captured factors relating to driving purpose. However, more recently, researchers have focused on the importance of driving for work. Over a third of traffic volume represents commuting or driving in the line of employment; improving workplace road safety practices represents a tangible way of reducing road trauma. This chapter considers the link between safety culture and best practice in workplace road safety. It is argued that best practice is not a term to define individual safety practices, but a system of practices that create a culture of safety. This research uses data collected on organizations workplace road safety practices within the Australian context. This data has been collected by the National Road Safety Partnership Program (NRSPP); an initiative that constitutes a network of organizations and academics working together to develop a positive road safety culture. Twenty-four case studies are presented of organizations that have implemented workplace road safety programs to improve their safe driving culture. Qualitative analysis was conducted to systematically categorize the safety initiatives and their indicators of success. Almost all case studies expressed the importance of developing a safety-first culture in the workplace. Third-party regulation, internal policy and corporate social responsibility form the foundation of workplace safety. However, it was the culture and attitude towards the safety initiatives that achieved effectiveness in the long-term. The findings of this research support the argument that best practice is best achieved when integrated within a culture that values and prioritizes safety, rather than implemented in isolation to other elements in the workplace system.

The purpose of this paper is to develop a simple model illustrating the benefits of operating a diverse fleet of aircraft.

The paper is theoretical. It describes how real options are beneficial to the firm in both capital budgeting and risk management. It illustrates the use of real options in the airline industry, and how real options are used as a risk management tool. Then the model is developed which illustrates how a diverse fleet can provide an airline protection against fuel price risk.

The results of the model show that a diverse fleet is value enhancing to an airline during periods when fuel prices are high or uncertain. Furthermore, this paper shows that a diverse fleet provides an airline with an operational hedge to jet fuel prices. Though the paper focuses on the airline industry, the results are applicable to those industries vulnerable to volatile input costs, and prohibitive abandonment and re‐entry costs.

The paper uses real option analysis to show the benefits for an airline deriving from operating a diverse fleet of aircraft.

The growing interest in recent years in the use of operational research methods in fleet management probably stems from the realization that the cost of distribution of goods and services constitutes in some cases a significant proportion of the sales value of items. It is not surprising, therefore, to find many studies concerned with the problems of fleet management: What size should the fleet be? What replacement policy for the purchase of new vehicles should be adopted? What maintenance policy is best? How should the fleet be used to deliver goods in response to customer demand?

The purpose of this paper is to assess the benefits of integrating IT tracking and routing systems into last-mile distribution operations. The paper also demonstrates the role of field experiments as a valid approach for improving the rigour of logistics research.

The study employs a field experiment approach. Data were collected before and after the experimental treatment from 16 participating vehicles, which were used as inputs and outputs to calculate vehicles' efficiencies using data envelopment analysis.

Through employing manipulation and random assignment to investigate causality in naturally occurring contexts, the study results show statistical evidence for the role of vehicle tracking and routing systems in enhancing fleet efficiency. Furthermore, results show that field experiment is an appropriate method for capital budgeting of deploying IT systems in the distribution function.

Distribution managers can use a field experiment setup to assess the potential impact of installing IT solutions prior to large-scale implementation or prior to purchasing.

The study fills a gap in the literature through the application of a field experiment approach to establish causality relationships in distribution and logistics research. This study should encourage new research on the role of field experimentation in evaluating the benefits gained from, and the capital budgeting of, the modern disruptive technologies in supply chains.