Search results

In an e‐manufacturing environment, the acquisition of real time quality data and information is paramount for distributed collaborative manufacturers to make quick and correct actions towards quality problems in a manufacturing process. This paper attempts to assist manufacturers in obtaining such data and information and further to make decisions regarding quality control.

In this paper, an online quality information system (OQIS) for quality control in an e‐manufacturing environment is presented. The common object request broker architecture standards and client‐server technologies are applied to obtain real time data and information whenever required at different locations. In addition, several modules, responsible for product design, process planning, quality control and data input, are developed within a coherent OQIS information model.

Preliminary results show advantages of the OQIS for companies to obtain real time quality data and information. It can also suggest possible improvements pertaining to quality control towards e‐manufacturing.

The proposed OQIS can be further developed to solve such issues as explanation of complex quality information and deployment costs in the enterprise. Further research should be directed to the evolution of OQIS.

The OQIS can provide consistent quality data and information, based on which manufacturers can make timely and correct decisions in solving quality problems in an e‐manufacturing environment.

Purpose – The purpose of this paper is to provide a case study for professionals who are in research and practice in maintenance engineering. Design/methodology/approach – This is a case study. Therefore, on‐site involvement in the development of steps for maintenance projects has been included. Findings – The case study shows that, if project management practice and involvement of external experts and parties are allowed in the maintenance projects, then issues in maintenance projects can be addressed more clearly and the cost and schedule for such a maintenance project can also be optimized. The use of information technology in the whole process can be facilitated not only during the planning phase, but also during the execution and review process. Research limitations/implications – Implication of this study can be seen in TAM projects where time and energy have to be spent to get the best practice. The case study will show a real life example of TAM. Practical implications – The paper should help one to understand the implications of starting a turn‐around maintenance project and the issues built therein. The case study highlights that collaborative planning and execution of TAM are useful. Collaboration could be in terms of internal parties, such as decision makers and managers, or of external parties, such as external experts and contractors. Originality/value – There are only a few studies in the turn‐around management process. As oil refining is an important economic process, learning of cases in one of the major oil‐refining plants can help others to emulate the process so that overall efficiency of turn‐around maintenance can be increased across the industry.

Online, on‐demand and real‐time availability of information to all members of a manufacturing system enables them to be agile and in the best position to react quickly, efficiently, synchronously, and collectively to the changing market. This paper proposes an integrated web‐based logistics management system for agile supply demand network design (ASDN).

The paper presents a software system, which is distributed as open source. A case study of ABB Company in Finland has been undertaken and this demonstrates the validity of ASDN in designing and managing supply demand networks.

Current software applications, such as ERP, WMS and EAI do not support a higher‐level decision making. There are several performance measures, which are directly connected to structure of the network.

The presented software supports modeling, analyzing and limited optimizing of supply demand networks. Also discussed is the network level logistics analysis that is behind the modeling tool.

The paper introduces the ASDN software, which is freely available for research and commercial uses. The case example shows how this type of network architecture‐related decisions can be analyzed.