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The purpose of this paper is to highlight benefits of integrated business planning, forecasting, and process management. The paper focuses on need of advanced business intelligence and the crucial role of integrated business planning, forecasting, and process management. Various case studies are used to highlight benefits.

The paper focuses on need of advanced business intelligence and the crucial role of integrated business planning, forecasting, and process management. Various case studies are used to highlight benefits.

Benefits of integrated business planning, forecasting, and process management. Case studies are used to highlight benefits.

Benefits of integrated business planning, forecasting, and process management.

The value of the paper is that there is very little published writing on benefits of integrated business planning, forecasting, and process management stressed upon by the use of case studies.

This study proposes targeted modernization of the Department of Defense (DoD's) Joint Forces Ammunition Logistics information system by implementing the optimized innovative information technology open architecture design and integrating Radio Frequency Identification Device data technologies and real-time optimization and control mechanisms as the critical technology components of the solution. The innovative information technology, which pursues the focused logistics, will be deployed in 36 months at the estimated cost of $568 million in constant dollars. We estimate that the Systems, Applications, Products (SAP)-based enterprise integration solution that the Army currently pursues will cost another $1.5 billion through the year 2014; however, it is unlikely to deliver the intended technical capabilities.

Sharing and exchanging information between project participants are basic requirements for developing construction plans. An isolated construction planning knowledge‐based system is no more useful and beneficial than any another ‘island of automation’ unless the integration with other construction applications are addressed. This paper proposes conceptual data and process models for a construction planning system, CONPLAN (Intelligent CONstruction PLANning), which works within a fully Integrated Construction Environment (ICE). An object oriented methodology (James Martin) has been used to establish generic construction models within which other construction applications can be integrated. This paper also introduces briefly the modularized approach that has been adopted to integrate the various construction applications over the project life cycle.

Develops a linear programming model for integrated production planning based on the practice of a major Canadian steel making company. Considers the entire planning activity in the company as an integrated process involving a number of closely related sub‐functions, such as raw material purchasing, semi‐finished product purchasing and production, and capacity allocation, as well as finished product production and distribution. The mathematical programming model takes into account production costs, product throughput rates, customer demands, sales prices and facility capacities for optimal production planning. Presents a numerical example based on realistic system structure and practical planning data to illustrate the model. Computation results and analysis show that the integrated methodology is a feasible and practical approach for steel production planning.

The purpose of this paper is to carry out a comprehensive review for state-of-the-art works in disruption risk management of express logistics mainly supported by air-transportation. The authors aim to suggest some new research directions and insights for express logistics practitioners to develop more robust planning in air-transportation.

The authors mainly confined the research to papers published over the last two decades. The search process was conducted in two dimensions: horizontal and vertical. In the horizontal dimension, attention was paid to the evolution of disruption management across the timeline. In the vertical dimension, different foci and strategies of disruption management are employed to distinguish each article. Three keywords were used in the full text query: “Disruption management”, “Air transportation”, and “Airline Operations” in all database searches listed above. Duplications due to database overlap, articles other than those from academic journals, and papers in languages other than English were discarded.

A total of 98 articles were studied. The authors categorized the papers into two broad categories: Reactive Recovery, and Proactive Planning. In addition, based on the problem characteristics and their application scenarios, a total of 11 sub-categories in reactive recovery and nine sub-categories in proactive planning were further identified. From the analysis, the authors identified some new categories in the air-transportation recovery. In addition, by analyzing the papers in robust planning, according to the problem characteristics and the state-of-the-art research in recovery problems, the authors proposed four new research directions to enhance the reliability and robustness of air-transportation express logistics.

This study provided a comprehensive and feasible taxonomy of disruption risk management. The classification scheme was based on the problem characteristics and the application scenarios, rather than the algorithms. One advantage of this scheme is that it enables an in-depth classification of the problem, that is, sub-categories of each class can be revealed, which provides a much wider and clearer horizon to the scientific progress in this area. This helps researchers to reveal the problem’s nature and to identify the future directions more systematically. The suggestions for future research directions also point out some critical research gaps and opportunities.

This study summarized various reasons which account for the disruption in air-transportation. In addition, the authors suggested various considerations for express logistics practitioners to enhance logistics network reliability and efficiency.

There are various classification schemes in the literature to categorize disruption management. Using different algorithms (e.g. exact algorithm, heuristics, meta-heuristics) and distinct characteristics of the problem elements (e.g. aircraft, crew, passengers, etc.) are the most common schemes in previous efforts to produce a disruption management classification scheme. However, the authors herein attempted to focus on the problem nature and the application perspective of disruption management. The classification scheme is hence novel and significant.

This paper aims to review the rescaling of integrated planning policies for the built environment by the transposition of European directives on air quality in The Netherlands.

This is a case study examining European and Dutch policies, legislation, case law and reports by various Dutch Courts of Auditors and assessment agencies.

The paper reveals how a combination of measures that prohibit practices and measures constituting new ways of working has facilitated environmental protection and integrated planning. The case shows that transposition matters. At first, the aim of transposing European environmental directives into an integrated national legal system resulted in an erosion of integrated planning as courts nullified new development decisions. In later instances, it resulted in the National Cooperation Programme on Air Quality (NSL), an integrated system, allowing the weighing and monitoring of all policies that affect air quality.

The findings of this study of Dutch air quality regulation may contribute to other studies into the rescaling of environmental governance in relation to interactions between central norm-setting and integrated local policies.

The case study shows a real working institutional system that relies on an interactive web tool that facilitates integrated planning decisions which respect environmental limit values. The problems faced and opportunities the system afforded are also discussed.

This paper increases understanding of the process of the transposition of European directives in relation to integrated policies for the built environment, with a specific emphasis on ambient air quality.

This paper aims to deal with integrated planning and scheduling problem in multi-site manufacturing environment and provides a comprehensive review of literature. Classification schemes and various aspects of planning and scheduling problem in multi-site manufacturing are highlighted.

A structured review methodology is adopted to classify the relevant literature. Taxonomy for classification of the problem is presented, followed by review of modelling approaches, solution strategies and challenges faced in multi-site integrated planning and scheduling problem.

The paper is concluded with interesting research findings and a short view on directions related to modelling approach, solution strategy and technique for further developments in the area of multi-site integrated planning and scheduling.

The findings of this study would be helpful for future researchers and practitioners to provide a knowledge base and to further work in this area.

This study attempts to consolidate the diverse literature available and highlight the various aspects of planning and scheduling in multi-site manufacturing.

Making decisions on production and maintenance separately, as is often done in practice and research literature, may not result in overall optimization. This paper aims to propose a joint method that better integrates production planning and maintenance at the tactical level. The potential of improving the performance of the classic planning method is also explored.

An integrated production planning and maintenance model is proposed. The production capacity losses resulted from both preventive and corrective maintenance activities are considered. Meanwhile, the reliability deterioration of the machine is considered to be operation dependent. An iterative approach is presented to find a solution for the nonlinear model through iteratively solving a sequence of mixed integer linear programming instances, accompanied by modification of some parameters prior to each iteration. Computational experiments are conducted to evaluate the performance of the proposed method compared with three other methods, including two methods based on separate planning and one integrated model.

The superiority of the proposed method compared with all the other three methods is demonstrated. Thus, the values of both integrated planning and considering operation-dependent failures are testified. The advantage of the proposed method is highlighted in the cases of high capacity utilization, long maintenance durations and low maintenance costs. The performance of the two methods based on separate planning is sensitive to the system utilization, and when utilization is high, the one with an availability-sensitive objective function defined for the maintenance problem performs better.

Few studies have been carried out to integrate decisions on production lot and maintenance. Their considerations are either incomplete or not realistic enough. A more comprehensive and realistic integrated model is proposed in this paper, along with an iterative solution algorithm for it. A potential way to improve the performance of the classic planning method with its simplicity preserved is also presented.

Manufacturing and engineering depend heavily on computers for many low‐level operations, including design, resource planning and production scheduling. But only a few companies have implemented the sort of enterprise‐wide computerized planning/project management found in other industries. However, substantial gains in productivity, flexibility, and production costs are to be made from integrating all aspects of the planning and scheduling process. Examines the need for integrated, company‐wide planning in manufacturing/engineering companies, and highlights how it is increasingly being applied to the different parts of the production cycle.

The development and implementation of an integrated production and distribution planning system requires more than the optimal solution of a set of mathematical models. Success is achieved when the organisation addresses both the technical and human issues in planning. The approach followed by a process manufacturer over the last five years to integrate fully its production and distribution planning and scheduling system is described. Reduced distribution costs and improved co‐ordination and communication are the principal benefits of this successful implementation. The major technical strategies adopted to co‐ordinate the tactical and short‐run planning and scheduling system are discussed, followed by the key organisational and human factors which play a vital role in the functioning of a successful system.