This thesis investigates production-inventory systems where replenishments are received every period (for example every day or shift), but where production plans are determined less frequently (weekly, fortnightly, or monthly). Such systems are said to use staggered deliveries. This practice is common in industry, but the theoretical knowledge is limited to a small set of inventory models, none of which include capacity costs. This thesis uses time series analysis to expand our understanding of staggered deliveries from the perspectives of inventory and production-inventory control. The contribution to inventory theory consists in the development of an optimal policy for autocorrelated demand and linear inventory costs, including exact expressions for costs, availability, and fill rate. In addition the thesis identifies a procedure for finding the optimal order cycle length, when a onceper- cycle audit cost is present. Notably, constant safety stocks are suboptimal, and cause both availability and fill rate to fluctuate over the cycle. Instead, the safety stocks should vary over time, causing the availability, but not the fill rate, to be constant. The contribution to production-inventory theory comes from two perspectives: First, an optimal policy is derived for quadratic inventory and capacity costs; second, four pragmatic policies are tested, each affording a different approach to production smoothing and the allocation of overtime work (once per cycle, or an equal amount of overtime every period). Assuming independent and identically distributed demand, these models reveal that all overtime or idling should be allocated to the first period of each cycle. Furthermore, it is shown that the order cycle length provides a crude production smoothing mechanism. Should a company with long reorder cycles decide to plan more often, the capacity costs may increase. Therefore, supply chains should implement a replenishment policy capable of production smoothing before the order cycle length is reduced.

Remanufacturing is one of the main recovery operations in Closed-Loop Supply Chains (CLSCs) that not only can contribute to a more sustainable environment, but also has significant economic and social benefits. A key factor for having an efficient remanufacturing operation is to control the heterogeneous characteristics of product returns in terms of quantity, quality and timing. Product Acquisition Management is an essential process in CLSCs, which aims to deal with these characteristics of product returns. The present study extends knowledge in Product Acquisition Management, by developing quantitative models that generate meaningful insights into the economics of proactive product acquisitioning. In addition, case studies inform the present study with the current status of product acquisition management in practice and the relevant challenges. The economic-oriented decision about operating a proactive or passive strategy is explored under quantity and quality-based incentive approaches. Closed-form solutions and quality thresholds are derived for the optimal return rate and optimal quality rate that minimises the total cost of the proactive strategy. The analysis of the infinite planning horizon models show that, the optimal acquisition strategy depends on a trade-off between the relevant remanufacturing cost advantage and the acquisition cost structure. A diseconomy of scale in the acquisition of returns leads to a decrease of the remanufacturing amount. Sensitivity analysis further highlights the differences between the quantity and the quality-based incentive approaches. This study extends its investigation on the economic viability of the proactive acquisition strategy under the finite planning horizon. Using the product life cycle as a basis for matching demand and supply, the analysis shows that delays in the processing of returns will reduce the cost advantages of a proactive acquisition strategy and that applying a dynamic acquisition policy will increase the cost improvement of the proactive strategy. Finally, the study investigates a dynamic manufacturing-remanufacturing system with a responsive buy-back policy by considering multiple quality levels and decay rates. The model is formulated using optimal control theory, and shows that the optimal acquisition strategy depends on the manufacturing-remanufacturing cost difference and price sensitivity of the return response function for high and low quality used products. The sensitivity analysis indicates that in general it is beneficial to obtain a higher rate of high quality returns in the beginning of the planning horizon, and a higher rate of low quality returns towards the end. The fluctuation in demand is mainly absorbed by manufacturing new products and much less by remanufacturing returns. Within the optimal buy-back policy, the result has indicated that it is the acquisition of high quality of returns that mirror the fluctuation in the demand, while the acquisition of low quality of returns show a relatively stable trend.

This research is focused on project scheduling with the aim to capture the monetary objectives of the project in the form of the maximisation of Net Present Value (NPV). In addition, this research is also highlighted key project management practices and scheduling methods. Project scheduling is very attractive for researchers and it has recently been drawn considerable attention because of the high cost of capital and the significant effect of the time value of money. This is the principal motivating factor behind this study. Project-scheduling problem is solved by priority rule-based heuristic methods in this study. The idea behind heuristic algorithms is to rank the activities by some rules. This research proposes a new rule called m-CCF with improved performance from the existing one. The m-CCF is also embedded in serial and parallel schedule generation schemes and is extended by implementing in a forward and backward strategy. The experiments are conducted to evaluate the performance of the proposed technique measuring the NPV generated for a particular project. This research also presents a framework summarising the previous research on project scheduling techniques. It is found that the m-CCF results in higher NPVs than any other heuristics. A series of different projects are examined to validate the potential of the m-CCF technique. The main findings of the research discover that the m-CCF is worthwhile to be employed in priority rule-based scheduling technique. Furthermore, the main findings suggest that it is beneficial to utilise forward-backward solution for scheduling improvement and selecting the schedule with the largest NPV among those available. In conclusion, this research contributes to existing knowledge by developing the combination of m-CCF priority rule methods and backward–forward scheduling. This can be considered as a good direction to develop further heuristics that can be exploited as a powerful tool in project planning and control systems.

A wide range of recent man-made and natural disasters has demonstrated the importance of managing disruption risk in global supply chains. This research argues that supply chain disruptions are, de facto, unavoidable and consequently all complex supply chains can be considered inherently risky. This research focuses on a relatively unexplored issue in supply chain risk management, asking and answering the question of how companies specifically use time to respond to catastrophic events of low probability but high impact. Linking faster response lead-time with reduced impact, the goal is to identify and explore the underlying factors of managing disruption risk by answering how companies respond to supply chain disruptions. In reducing total response time by detecting the event, designing solutions, and deploying a recovery plan sooner after a disruption, the company can reduce the impact of disruption risk. The research uses Grounded Theory methodology to extend an emerging framework on time-based supply chain risk management. Empirical data is used from a range of sources including interviews and corporate publications from the events faced by global pharmaceutical manufacturer during a pandemic in 2009. The emerging categories of possible factors in response time are further developed using data from the events surrounding the worst maritime oil spill in history in 2010 under the management responsibility of the Exploration and Production (Upstream) division of a global energy company and from an industrial accident in 2005 in the Refining and Marketing division of the same firm. The research identifies four categories of factors that companies can focus on to reduce response time in the face of catastrophic events of low probability and high impact: organisational structure, preparation, partnership and reserve. The research derives new insights, presented as four propositions that relate the response time in managing supply chain disruption to negative or potentially positive impact.

The participation of small and medium enterprises in inter-firm collaboration can enhance their market reach while maintaining production lean. The conventional centralised collaboration approach is believed to be unsustainable, in today’s complex environment. The research aimed to investigate manufacturing network collaborations, where manufacturers maintain control over their scheduling activities and participate in a market-based event, to decide which collaborations are retained. The work investigated two pairing mechanisms where the intention was to capture and optimise collaboration at the granular level and then build up a network from those intermediate forms of organisation. The research also looked at two bidding protocols. The first protocol involves manufacturers that bid for operations from the process plan of a job. The second protocol is concerned with networks that bid for a job in its entirety. The problem, defined by an industrial use case and operation research data sets, was modelled as decentralised flow shop scheduling. The holonic paradigm identified the problem solving agents that participated in agent-based modelling and simulation of the pairing and the bidding protocols. The protocols are strongly believed to achieve true decentralisation of scheduling, with good performance on scalability, conflict resolution and schedule optimisation, for the purpose of inter-firm collaboration.

This thesis argues that the British Industrial Revolution, which marked the beginning of sustained modern economic growth, was facilitated by the blossoming in eighteenth and early nineteenth century Britain of the world’s first infrastructure for commercial R&D, composed of a network of ‘Knowledge Access Institutions’ (KAIs): scientific societies, ‘mechanics institutes’, public libraries, masonic lodges and other organisations. This infrastructure lowered the cost of access to knowledge for scientists, inventors and entrepreneurs, raising the productivity of R&D and encouraging a sustained increase in R&D effort. This contributed to the acceleration in technological innovation that lay behind the transition to modern economic growth. First, I define the concept of KAIs and explain how they affected the rate of economic growth. Second, I present detailed data on the KAI infrastructure and estimate its effect on the rate of technological innovation during the British Industrial Revolution, using newly constructed spatial datasets on British patents between 1700 and 1852 and exhibits at the Great Exhibition of 1851. Third, I argue that KAIs were largely exogenous to industrialisation, rooted instead in the intellectual developments of the Scientific Revolution and European Enlightenment. Fourth, I show that the prevalence of Knowledge Access Institutions was correlated with the emergence of modern economic growth across countries in the late nineteenth century and that the cost of access to knowledge was a binding constraint to economic progress shared by many countries during this period. Finally, based on the case of late nineteenth century US manufacturing, I investigate the extent to which the emergence of modern economic growth depended on the incentives to innovate rather than the capabilities lent by access to knowledge and other factors. The thesis suggests that the sharp fall in the cost of access to knowledge that we are currently experiencing may give rise to an acceleration in the rate of technological innovation in the coming decades and that policymakers should direct some effort towards mitigating the potentially harmful effects of rapid technological change.

As observed from the reviewed literature, the execution of research and development (R and D) projects in Nigeria is challenged by many social, political and economic factors interacting in complex and dynamic ways. This interaction is reflected in the history of science and technology in Nigeria, its culture, legal systems, institutional frameworks and social capital. The economic and social development of Nigeria is critically dependent upon the ability to establish a competitive, productive and efficient industrial sector built on a strong technology base. This implies that her natural resources must be developed and utilised as inputs to industrial production and as direct products to improve the life of the population. Public research organisations (PROs) are considered to be critical to the survival of industries and to the achievement of self-reliance through the use of locally available raw materials. This thesis explores the application of strategic project management (SPM) practices in the execution of R and D projects in PROs in Nigeria. The research employed a mixed method of quantitative and qualitative research in order to capture the experiences of project management practitioners with SPM practices in PROs in Nigeria. Although areas of variations in practice were identified, the major findings highlighted that there was a gap in the practical implementation of SPM. The findings also revealed key determinants associated with the implementation of SPM and the factors that affected its application in PROs in Nigeria. The research findings were further synthesised into a framework, capturing ten key dimensions that must be taken into account in the execution of research and development projects. The determinants include having a project-based organisational structure, top management involvement in the project execution, strategic project leadership style, the appointment of a project team, the project team's competence, project alignment with organisational strategy, project prioritisation and selection, maximising R and D strategy, the project management process, and the SPM process. The framework validation was a follow-up discussion, which was conducted with project management practitioners in the selected research organisations in Nigeria. Reflecting on their experiences in the management of R and D projects, the participants acknowledged that the proposed SPM framework and its ten key variables were fundamental to the effective execution of R and D projects in PROs in Nigeria. It was concluded that the use of such a framework would highlight areas that needed to be addressed in order to achieve effective execution of R and D projects in these organisations.

The service industry worldwide continues to face unprecedented challenges in decision-making and in managing the operations involved in delivering products at low cost and ever-faster delivery speeds. These pressures exert an even greater impact upon small- and medium-sized enterprises (SMEs) involved in this industry who, influenced by globalisation, have to respond by handling the dynamic complexity within their operational supply chain. Many larger firms have implemented Lean and Six Sigma (LSS) and end-to-end integrated real-time information systems (RTI) that provide the information and the mechanisms needed to support flexibility and prompt decision-making. The recent emergence of new technologies such as multi-agent systems (MAS) provides enhanced capability to address complexity and decision-making with greater ease of use at a reduced cost. Whilst the application of Lean and Six Sigma are supported by significant published research, the application of integrated LSS and MAS in food distribution, especially in SMEs, is not. This study seeks to provide research to address this shortcoming for SMEs within the food distribution sector within Saudi Arabia, how this integrated approach can offer considerable performance improvement in SMEs and provide a base for further contributions in this field. This research undertook an empirical case study in Saudi Arabia to test the application of LSS in a food distribution SME. This approach demonstrated a significant improvement in the Six Sigma for late delivery. A single-stage MAS application extended this improvement, demonstrating that there is value in its application. The study conducted a survey of 39 firms in this sector to gain an insight into their current practices and challenges. The findings indicated there was a lack of Lean and Six Sigma principles adopted and that a lack of use of interconnected real-time systems to support decision-making and complex operational SCs. These findings identified the opportunity to design a conceptual framework with a stepped approach that integrated LSS with MAS, which was then developed on a Java-Assisted DEvelopment Framework (JADE) platform and tested using real-world data in an SME empirical case study. The results of the sequence of applications and the final simulations proved that this integrated Lean multi-agent system (LMAS) solution offered such substantial improvements in quality, time and costs that the SME considered that those factors justified making its implementation a priority.

Egypt is seeking to accelerate comprehensive and sustainable development and to achieve higher growth rates for the interest of all classes and categories of society. According to what was published in 1/7/2013 by the public association for adult education AEA at the information and decision support centre in Egypt; 14.9% of population in age between 15 and 35 years old are illiterate. Here, we have to ask:" How a society where 14.9% of its young working power is illiterate can execute the mentioned adopted strategy of development?!"The Egyptian young working power is poor educated due to the bad education system ranking 131 out of 144 in the world. There is a need for a good High Educational system, affordable to those who does not have the opportunity to leave there jobs, from where they gain to live, in order to have a good education to improve their social life, and help them being part of the required development. Making benefit from the technological revolution and the excitement and passion of using it, can give the chance to offer an E-learning service through which a human development could be achieved. Then, strategies could be well adopted to improve society. In Organizations; Total Quality Management (TQM) has become most widely used management acronym and is considered as the buzz word in the management practices, keeping an eye on details. TQM is mainly concerned with continuous improvement in all work, from high level strategic planning and decision-making, to detailed execution of work elements on the shop floor. On the other hand, Enterprises find ways to set themselves apart in the hyper-competitive global marketplace by applying e-service. E-Service may provide the greatest return on investment (ROI) and sets the foundation for adding and integrating other E-Business functionality in the future. Customers can achieve the service through web page without a need to any help or support at any time. E-service and Total quality management (TQM) seek for same goals, but from different perspectives. Now, what if an organisation offers an E-service while applying Total quality management (TQM)? Hoping to achieve a good affordable High educational E-learning system, it was decided to study “The Implications of applying TQM on E-Learning in Egypt”. This is for the great impact of the E- learning quality on the education as main national issue in Egypt. E-Learning was implemented in the near past few years, through limited programs in national Universities, and the Egyptian E-learning University established in 2009. The Quality management were also taken as essential of management in the higher educational institutes there. This research take a track to suggest Total Quality management Model to improve E-learning service offered in one of the Higher Educational Institutes in Egypt. The suggested e-learning Model emphasize that the eight elements of TQM were engaged in the Baldrige criteria framework. Quality Function Deployment (QFD) the main tool of evaluation of all the processes. The Idea of this model is to use Quality function Deployment (QFD) to translate and plan the‖ voice of the customer‖ into the quality characteristique of the service before enter the market. QFD analyse the client‘s requirements,define how each requirement will be satisfied by the service,organize the needs,illustrate the relationship between the requirement of the customer in the market and the needs to fullfil them. The result will be transmitted to the leadership Management,who will deploy the quality ,and apply the eight Total Quality Management Principles going through the seven categories of the Baldrige Criteria. The result of all the model phases shall affect the learner through the afforded high quality E-learning service. The high qualified personnel educated through the high quality E-learning system, will affect the social culture and environment from where comes the ―voice of cutomer‖, to be analyzed through the QFD, to the leadership management, and the improvement cycle continue. The suggested E-learning service Quality Model represents required emerged recognised set of procedures for validation of quality framework.

Organisations can deploy Total Quality Management (TQM) through company quality programmes in order to achieve improved business performance. A review and analysis of TQM literature found that the areas of strategic quality management, quality practices and quality activities (tools and techniques) have evolved largely independently without relationships being established. Employee involvement (EI) is a key element of TQM yet the involvement of individuals in specific quality activities is an under-researched topic. The aim of this research is to propose a framework which links these areas and provides a methodology for manufacturing organisations to use to link quality activities to strategic quality requirements and therefore facilitate the management of their quality programme. Exploratory case study research has underpinned the research methods adopted. Information about the deployment of TQM through quality programmes via quality practices and quality activities was gathered through interviews, documentation and surveys. Specific details regarding the actual quality activities engaged in by individuals were obtained by participant observation. The data was evaluated both within case and cross case using a selection of methods. Findings have resulted in the creation of two unique frameworks. The first, the Quality Programme, Quality Activities and Performance (QPQAP) framework, provides a structure to link strategic quality requirements to quality activities via performance measures and includes a feedback process to facilitate continuous improvement and sustain the quality programme. Quality Function Deployment (QFD) has been adapted to deploy the QPQAP Framework and an analysis process developed. The second framework describes an Activity Classification System (ACS) that can be used to categorise and analyse an individual’s day-to-day quality activities and judge the application and effectiveness of these activities. Combined, these frameworks provide a Quality Programme Management Framework which enables organisations to make decisions about the application of quality activities and adjustments necessary to improve performance and fulfil strategic quality requirements.