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This chapter presents a novel visualisation tool, known as Flexible Integrated Transport Services (FITS) that transport commissioners, providers and administrators could employ to specify and edit the operating constraints as they redesign transport services.

The context of rural transport planning is discussed noting that where resources are fewer, effective co-ordination is required to provide passengers with efficient transport services. An overview of the FITS visualisation tool and its different sub-systems (e.g. general information regarding services, operating area, passenger eligibility, fare structure and surcharge structure) is given. Additionally, some key computational details of the system are discussed. Preliminary results of a sample case study that trialled the FITS tool in a specific test run, using simulated transport to health data in the Morayshire and North-West Aberdeenshire area of Scotland are presented. The concluding discussion considers the potential impact of employing tools like FITS in planning transport services in rural and low-demand settings.

Results from the case study show how these effects could be quantified in terms of changes in costs incurred by transport providers, the level of potential demand that could be covered and the associated revenues (fares and subsidies) which could be generated by providers.

The FITS visualisation tool has the potential to act as a planning tool to help transport commissioners, providers and administrators visualise the effects of shifting operating boundaries of flexible transport services.

The purpose of this paper is to explore different aggregate production planning (APP) strategies (inventory levelling, validation of the workforce and flexible production alternatives: overtime and/or outsourcing) by using a system dynamics model in a two-level, multi-product, multi-period manpower intensive supply chain (SC). Therefore, the appropriateness of using systems dynamics as a research method, by focusing on managerial applications, to analyse APP policies is proven. From the combination of systems dynamics and APP, recommendations and action strategies are considered for each scenario to understand how the system performs and to improve decision making on APP in the SC context.

The research design analyses a typical factory setting with representative parameter settings for five different conventional APP policies – inventory levelling, workforce variation, overtime, outsourcing and a combination of overtime and outsourcing – through deterministic systems dynamics-based simulation. In order to validate the simulation model, the results from published APP models were replicated. Then, optimisation is conducted for this deterministic setting to determine the performance of all these typical policies with optimal parameter settings. Next, a Monte Carlo stochastic simulation is used to assess the robustness of such performances in a variety of demand settings. Different aggregate plans are tested and the effect that events like demand variability and production times have on the SC performance results is analysed.

The results support the assertion that the greater the demand variability, the higher the flexibility costs (overtime, outsourcing, inventory levelling, and contracts and firings). As greater inter-month oscillations appear, which must be covered with additional alternatives, the optimum number of employees must be determined by analysing the interchanges and marginal costs between capacity oversizing costs (wages, idle time, storage) and the costs to undersize it (penalties for lowering safety stocks, delayed demand, greater use of overtime and outsourcing). Accordingly, controlling the times to avoid increased costs and penalties incurred by delayed demand becomes an essential important task, but one that also depends on the characteristics of this variability.

This paper has developed a modelling approach for APP in a manpower intensive SC by applying system dynamics. It includes a simulation model, the analysis of several scenarios, the impact on performance caused by variability events in the parameters, and some recommendations and action strategies to be subsequently applied. The modelling methodology proposed can be employed to design-specific models for each SC.

This paper proposes an APP system dynamics approach in a two-level, multi-product, multi-period manpower intensive SC for the first time. This model bridges the gap in the literature relating to simulation, specifically system dynamics and its application for APP. The paper also provides a qualitative description of the various pros and cons of each analysed policy and how they can be combined.

Addresses a number of issues relating to determining whether products should be ordered independently and therefore shipped as a single‐product order, or co‐ordinated and shipped as a group, or multiproduct, order from a single source. Factors which might influence the decision include the level or volume of demand, the distribution of demand across products, the weight of items and the attractiveness of the quantity discount offered. Uses an optimal inventory‐theoretic model, that incorporates transport weight breaks and quantity discounts, to assess when product orders should be combined and what products should be ordered separately. The effects of these decisions on the order interval, the number of order groupings, the proportion of items ordered independently, the proportion of attractive discounts forgone in favour of consolidation, and the relative cost savings, are examined using an extensive set of simulated data that are based on a firm in the automobile industry supply chain.

The purpose of this paper is to examine the relationship of immediate workspace satisfaction (IWS) and environmental workplace quality (EWQ) on perceived organizational support (POS), engagement and organizational citizenship behaviors (OCBs). In this paper, we draw on social exchange theory and environmental psychology to propose IWS and EWQ as drivers of employee OCBs.

A survey was conducted with 1,206 full-time employees. The EWQ measure was assessed with a randomly selected calibration sample (n = 603). Structural equation modeling was used to analyze the hypothesized model (n = 603).

IWS and EWQ both are positively related to employees’ OCBs. For IWS, the effect was fully mediated by POS while POS and engagement partially mediated the EWQ–OCB relationship.

The survey was conducted at one point in time and may introduce common method variance.

High-quality, satisfying workspace and workplace environments motivate employee OCBs through POS and work engagement.

This study introduces a scale for measuring EWQ. Empirical evidence provided to support the effects of two contextual perceptions—IWS and EWQ—on employee discretionary behaviors.

The purpose of this model is to explain how person – organization fit (P – O fit) and competitive intensity, conceptualized as a job resource and a job demand, respectively, ultimately affect the development of frontline employee boundary-spanning behavior (BSB).

A survey methodology was used in collecting data from a sample of bank employees in South Korea. To analyze the data, a structural equation model procedure using LISREL 8.5 was used (Jöreskog and Sörbom, 1996).

Results suggest that a frontline employee’s P – O fit decreases emotional exhaustion and increases achievement-striving motivation. Competitive intensity significantly reduces achievement-striving motivation. Results also show that competitive intensity significantly attenuates the positive relationship between P – O fit and employee achievement-striving motivation, highlighting the importance of contextual industry stressors upon internal organizational behaviors. Both emotional exhaustion and achievement-striving motivation are found to ultimately affect BSBs except for the link between emotional exhaustion and service delivery.

The current study applies the job-demands resources model to demonstrate how both an externally initiated job demand (competitive intensity) and an internally oriented job resource (person – organization fit) influence employee experience of emotional exhaustion and achievement-striving motivation. Interaction effects of P – O fit and competitive intensity on employee’s psychological states (emotional exhaustion and achievement-striving motivation) are also examined. Further, it is demonstrated that both emotional exhaustion and achievement-striving motivation will directly influence service employee boundary-spanning behaviors, but in differential manners. This highlights the importance of exhaustion and motivation as mediators for the ultimate effect of a job resource (P – O fit), answering a call for such understanding of the developmental process for BSBs (Podsakoff et al., 2000). This is the first empirical study to link both internal and external elements to illuminate the process for developing job demands and resources, as well as boundary spanning behaviors.

The purpose of this paper is to focus on various control strategies for permanent magnet synchronous generator (PMSG) systems, in order to stabilize the dc link output voltage over a wide operation speed range.

Two control methods, namely, the flux regulation control (FRC) which adjusts the stator flux linkage and then indirectly stabilize the dc link voltage, and the direct voltage control (DVC) which directly stabilize the dc link voltage by regulating the power angle, are proposed in this paper. Both methods can be realized by either approach of the conventional space vector pulse width modulation (SVPWM) or the proposed single voltage vector modulation (SVVM).

The FRC can optimize the field in the PMSG, however, the realization is complicated. The DVC need not estimate and regulate the stator flux linkage, hence is easy to implement. On the other hand, the SVPWM can provide smooth armature current and dc link voltage, while the SVVM applies only one voltage vector during each control cycle, hence, is simple to realize and requires the minimum switching on the PWM rectifier. All cross-combinations between the two control methods and the two realization approaches work well.

The proposed FRC and DVC methods are simpler than the conventional field oriented control, while the proposed SVVM is a novel and efficient approach to generate the PWM status. Optimal cross-combination, either of SVPWM-FRC, SVVM-FRC, SVPWM-DVC and SVVM-DVC, can be chosen to satisfy the system characters and requirements.

The purpose of this paper is to present a dynamic model to measure the degree of system’s leanness under dynamic demand conditions using a novel integrated metric.

The multi-stage production system model is based on a system dynamics approach. The leanness level is measured using a new developed integrated metric that combines efficiency, WIP performance as well as service level. The analysis includes design of experiment technique at the initial analysis to examine the most significant parameters impacting the leanness score and then followed by examining different dynamic demand scenarios. Two scenarios were examined: one focussed low demand variation with various means (testing the impact of demand volumes) while the second focussed on high demand variation with constant means (testing the impact of demand variability).

Results using the data from a real case study indicated that given the model parameters, demand rate has the highest impact on leanness score dynamics. The next phase of the analysis thus focussed on investigating the effect of demand dynamics on the leanness score. The analysis highlighted the different effects of demand variability and volumes on the leanness score and its different components leading to various demand and production management recommendations in this dynamic environment.

The presented lean management policies and recommendations are verified within the scope of similar systems to the considered company in terms of manufacturing settings and demand environment. Further research will be carried to extend the dynamic model to other dynamic manufacturing and service settings.

The developed metric can be used not only to assess the leanness level of the systems which is very critical to lean practitioners but also can be used to track lean implementation progress. In addition, the presented analysis outlined various demand management as well as lean implementation policies that can improve the system leanness level and overall performance.

The presented research develops a novel integrated metric and adds to the few literature on dynamic analysis of lean systems. Furthermore, the conducted analysis revealed some new aspects in understanding the relation between demand (variability and volume) and the leanness level of the systems. This will aid lean practitioners to set better demand and production management policies in today’s dynamic environment as well as take better decisions concerning lean technology investments.

The purpose of this paper is to investigate whether truthful information sharing can be achieved via informal cheap talk in a competitive setting, and how carbon emission constraint and information-sharing modes (no information sharing, partial information sharing and public information sharing) interact with each other under cap-and-trade regulation.

This paper establishes an emission-dependent supply chain consisting of a manufacturer, an incumbent retailer who has superior demand information and a new entrant retailer. The manufacturer abates carbon emissions under the pressures of government environmental regulation and consumers’ eco-friendly concern. The research formulates a multistage game to explore every party’s decision and the implications of information-sharing modes.

The results show that truthful information sharing can be achieved when the manufacturer decides both the wholesale price and carbon emission abatement. The results also show that the incumbent retailer’s information-sharing decision highly depends on the manufacturer’s capacity in abating carbon emissions and the demand uncertainty.

The research adds value to information management and sustainable production literature. This work emphasizes the interaction between the information flow and material flow. Not only it investigates the factors that affect information-sharing modes from a new point of view when considering carbon emission constraint, but also provides operational strategies for manufacturers to make more profit when facing asymmetric information and emission regulation.