The integration of process planning and machine loading in small batch part manufacturing

PART is a highly automated planning system in which both process and production planning functions are integrated. This paper discusses a method to improve machine tool selection in process planning by integration with loading. A method is presented to select the best process plan from a number of possible alternatives taking into account the limited availability of resources. Various aspects of the quality of a process plan are evaluated and expressed in the so-called evaluation time. To prevent redundant work, partly worked out process plans are considered as alternatives. The consequences of the different alternatives have to be estimated which includes the estimation of machining times. The loading problem is modelled as the minimization of the total evaluation time for a given order set, subjected to capacity constraints

A framework for the definition of metrics for actor-dependency models

Actor-dependency models are a formalism aimed at providing intentional descriptions of processes as a network of dependency relationships among actors. This kind of models is currently widely used in the early phase of requirements engineering as well as in other contexts such as organizational analysis and business process reengineering. In this paper, we are interested in the definition of a framework for the formulation of metrics over these models. These metrics are used to analyse the models with respect to some properties that are interesting for the system being modelled, such as security, efficiency or accuracy. The metrics are defined in terms of the actors and dependencies of the model. We distinguish three different kinds of metrics that are formally defined, and then we apply the framework at two different layers of a meeting scheduler system.Postprint (published version

Project benefit management: a conceptual framework of target benefit formulation

Successful realization of project benefits is strongly associated with organizational performance. Formulating project target benefits is regarded as the first and critical step in the benefit management process. In this study, we drew upon relevant theories and conducted in-depth interviews with senior managers in Australia to develop a conceptual framework of project target benefit formulation and corresponding propositions. Our findings highlight the important role of project target benefits in funding decision-making and suggest seven criteria for their appraisal (strategic fit, target value, measurability, realism, target date, accountability and comprehensiveness) and four constructs which improve the formulated target benefits (a formal benefit formulation process, senior executive leadership, senior executive supports, and public service motivation). These findings extend the current literature on project benefit management by providing a holistic view on how project target benefits should be formulated and appraised

Decision support for build-to-order supply chain management through multiobjective optimization

This paper aims to identify the gaps in decision-making support based on multiobjective optimization for build-to-order supply chain management (BTOSCM). To this end, it reviews the literature available on modelling build-to-order supply chains (BTO-SC) with the focus on adopting multiobjective optimization (MOO) techniques as a decision support tool. The literature has been classified based on the nature of the decisions in different part of the supply chain, and the key decision areas across a typical BTO-SC are discussed in detail. Available software packages suitable for supporting decision making in BTO supply chains are also identified and their related solutions are outlined. The gap between the modelling and optimization techniques developed in the literature and the decision support needed in practice are highlighted and future research directions to better exploit the decision support capabilities of MOO are proposed

Decision support for build-to-order supply chain management through multiobjective optimization

This is the post-print version of the final paper published in International Journal of Production Economics. The published article is available from the link below. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. Copyright @ 2010 Elsevier B.V.This paper aims to identify the gaps in decision-making support based on multiobjective optimization (MOO) for build-to-order supply chain management (BTO-SCM). To this end, it reviews the literature available on modelling build-to-order supply chains (BTO-SC) with the focus on adopting MOO techniques as a decision support tool. The literature has been classified based on the nature of the decisions in different part of the supply chain, and the key decision areas across a typical BTO-SC are discussed in detail. Available software packages suitable for supporting decision making in BTO supply chains are also identified and their related solutions are outlined. The gap between the modelling and optimization techniques developed in the literature and the decision support needed in practice are highlighted. Future research directions to better exploit the decision support capabilities of MOO are proposed. These include: reformulation of the extant optimization models with a MOO perspective, development of decision supports for interfaces not involving manufacturers, development of scenarios around service-based objectives, development of efficient solution tools, considering the interests of each supply chain party as a separate objective to account for fair treatment of their requirements, and applying the existing methodologies on real-life data sets.Brunel Research Initiative and Enterprise Fund (BRIEF

After-School Toolkit: Tips, Techniques and Templates for Improving Program Quality

This toolkit offers program managers a practical, hands-on guide for implementing quality programming in the after-school hours. The kit includes the tools and techniques that increased the quality of literacy programming and helped improve student reading gains in the Communities Organizing Resources to Advance Learning (CORAL) initiative of The James Irvine Foundation. CORAL is an eight-year, $58 million after-school initiative aimed at improving education achievement in low-performing schools in five California cities. In addition to strategies, process and instructions, this toolkit offers a series of tools program staff can use to build the quality of their after-school program

The New Food Safety

A safe food supply is essential for a healthy society. Our food system is replete with different types of risk, yet food safety is often narrowly understood as encompassing only foodborne illness and other risks related directly to food ingestion. This Article argues for a more comprehensive definition of food safety, one that includes not just acute, ingestion-related risks, but also whole-diet cumulative ingestion risks, and cradle-to-grave risks of food production and disposal. This broader definition, which we call “Food System Safety,” draws under the header of food safety a variety of historically siloed, and under-regulated, food system issues including nutrition, environmental protection, and workplace safety. The current narrow approach to food safety is inadequate. First, it contributes to irrational resource allocation among food system risks. Second, it has collateral consequences for other food system risks, and, third, its limited focus can undermine efforts to achieve narrow food safety. A comprehensive understanding of food safety illuminates the complex interactions between narrow food safety and other areas of food system health risks. We argue that such an understanding could facilitate improved allocation of resources and assessment of tradeoffs, and ultimately support better health and safety outcomes for more people. We offer a variety of structural and institutional mechanisms for embedding this approach into federal agency action