A Decision Support System for Ship Maintenance Capacity Planning

In this paper, the basic framework and algorithms of a decision support system are discussed, which enhance process and capacity planning at a large repair shop. The research is strongly motivated by experiences in a project carried out at a dockyard, which performs repair, overhaul and modification programs for various classes of navy ships. We outline the basic requirements placed upon order acceptance, process planning and capacity scheduling for large maintenance projects. In subsequent sections a number of procedures and algorithms to deal with these requirements, in particular a procedure for workload-based capacity planning, a database system to support process planning are developed, as well as a resource-constrained project scheduling system to support work planning at a more detailed level. The system has been designed to support decision making at the Navy Dockyard in particular, however, we believe that, due to its generic structure, it is applicable to a wide range of project-based manufacturing and maintenance environments

University strategic planning in Cameroon: what lessons for sub-Saharan Africa?

This article argues that the global, regional, and local realities can complement rather than contradict each other in the process of strategic planning for universities in Sub-Saharan Africa (SSA). Using the case of the University of Buea in Cameroon, it attempts to use the global trends of polarisation in knowledge production capacity as an input or tool for identifying strategic choice in the process of strategic planning in institutions. The national policy background is used to highlight the context and inherent role of the central government in the process of institutional strategic planning

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

PERENCANAAN KAPASITAS WAKTU PRODUKSI SANDAL DENGAN METODE CAPACITY REQUIREMENT PLANNING (CRP) DI CV. DONI BUMI PERKASA SURABAYA

In the production process a company is demanded to supply the product on time, anywhere, and amount order. If the Planning-needs of process time capacity is not optimum, then it will disturb the production-scheduled and caused loss profit for the time and process session. So, it will be needed a planning method to the time capacity for a good production that suitable for the maximum output to fulfill market-demand. CV. DONI BUMI PEKASA is a company producing various kinds of sandals made from eva sponge. A problem that faced to the company is the lateness of the production process to the sandals product, until it disturbs the scheduled of making the product and it caused loss-profit, by affecting the time and process side. This thing really affects the way of CV. DONI BUMI PERKASA to improve its production, and the filling of the consumer needs is disturbed. The way this problem exists makes this research uses Capacity Requirement Planning (CRP), with a hope CV. DONI BUMI PERKASA can handle the planning and the process to suit the level of the request is suitable with the time capacity that available by identifying the center of the working area which is over and below capacity that available, so it makes the processing of the product can be faster. For the counting of the lacking to the time capacity on March 2012February 2013, it an be known that by using company method valuing to the sum of lacking to the time capacity up to 721,9 hours, and by using CRP method valuing to the sum of lacking to the time capacity up to 191,1 hour, so the CRP method is better than company’s method, Because of lacking to the time capacity that produces a little than company’s method. In filling the request in March 2013 – February 2014 by using work-hours 8 hour/shift, proved the company still in the loss-profit stages in the time capacity up to 104,64 hour, to fix this up, so it will be given the idea to an addition of work-hour it makes the lacking of time capacity solved. Key words : Planning of the capacity need, Capacity Requirement Planning (CRP

A Sharing- and Competition-Aware Framework for Cellular Network Evolution Planning

Mobile network operators are facing the difficult task of significantly increasing capacity to meet projected demand while keeping CAPEX and OPEX down. We argue that infrastructure sharing is a key consideration in operators' planning of the evolution of their networks, and that such planning can be viewed as a stage in the cognitive cycle. In this paper, we present a framework to model this planning process while taking into account both the ability to share resources and the constraints imposed by competition regulation (the latter quantified using the Herfindahl index). Using real-world demand and deployment data, we find that the ability to share infrastructure essentially moves capacity from rural, sparsely populated areas (where some of the current infrastructure can be decommissioned) to urban ones (where most of the next-generation base stations would be deployed), with significant increases in resource efficiency. Tight competition regulation somewhat limits the ability to share but does not entirely jeopardize those gains, while having the secondary effect of encouraging the wider deployment of next-generation technologies

Gazing into the future of Sri Lankan higher education: capacity building for the future

This paper reports on an investigation into capacity building processes in relation to e-learning resource development and delivery (RDD) in a Sri Lankan higher education institution. The capacity building was investigated in three main areas: strategic planning, institutional capacity building, and the resources acquisition processes. The project investigated the embedding of e-learning into the Sri Lanka Institute of Advanced Technological Education (SLIATE). Like many other higher education institutes SLIATE aspires to excel in providing quality teaching and learning facilities and quality learning experiences. The research project concentrated on the exploration of areas of capacity building within the academic community at SLIATE by identifying possible improvements to the management of e-learning RDD. The paper focuses on the findings in relation to the effectiveness of the capacity building process in e-learning resource development and delivery, and how this could assist SLIATE students with their learning

Discrete Event Monte-Carlo Simulation of Business Process for Capacity Planning: A Case Study

Strategic capacity planning is generally done using static mathematical analysis. Simulation of operational scenarios during capacity planning provides more insights into the real system behavior. This ensures better preparedness to handle operations. This case study demonstrates the benefits of discrete event Monte-Carlo simulation of business process over simple mathematical analysis for capacity planning

Linking design and manufacturing domains via web-based and enterprise integration technologies

The manufacturing industry faces many challenges such as reducing time-to-market and cutting costs. In order to meet these increasing demands, effective methods are need to support the early product development stages by bridging the gap of communicating early design ideas and the evaluation of manufacturing performance. This paper introduces methods of linking design and manufacturing domains using disparate technologies. The combined technologies include knowledge management supporting for product lifecycle management (PLM) systems, enterprise resource planning (ERP) systems, aggregate process planning systems, workflow management and data exchange formats. A case study has been used to demonstrate the use of these technologies, illustrated by adding manufacturing knowledge to generate alternative early process plan which are in turn used by an ERP system to obtain and optimise a rough-cut capacity plan