Using ERP Systems to Transform Business Processes: A Case Study at a Precession Engineering Company

Enterprises nowadays strive to keep transforming their business processes in accordance with the fast- changing customer demands so as to survive the intense global competition. In an attempt to provide practitioners with an insight into ERP implementation and the resulting business performances, this paper investigate how a successful ERP implementation can help transform enterprises processes. Case based research which is based on an in-depth observation under managerial and practitioner situation. A case study at a precession engineering company is conducted to evaluate the feasibility of the proposed strategic enterprise information model. This paper focuses on the implementation of Sales & Marketing and Warehouse modules of an ERP system. The key performance indicators are used to evaluate how the ERP implementation can improve the business processes. It is found that ERP helps to improve data visibility and improve on-time delivery but less effective on improving employee productivity. This research proposes an enterprise information model to exploit what strategy should be formulate and how ERP tactic can be implemented in company to enhance enterprise competitive advantages. The strategic enterprise information model is formulated based on our in-depth case study and ERP consultant’s experience

Development of an OLAP Based Fuzzy Logic System for Supporting Put Away Decision

In today‘s rapidly changing and globally volatile world, manufacturers pay strong efforts on conducting lean production, outsourcing their components, and management on the complex supply chain. Warehouse management plays a vital role to be a successful player in the any kinds of industry which put-away process is a key activity that brings significant influence and challenges to warehouse performance. In this dynamic operating environment, minimizing the operation mistakes and providing accurate real time inventory information to stakeholder become the basic requirements to be an order qualifier. An OLAP based intelligent system called Fuzzy Storage Assignment System (FSAS) is proposed to increase availability of decision support data and convert the human knowledge into system for tackling the storage location assignment problem (SLAP). To validate the feasibility of this proposed system, a prototype will be worked out for a third party logistics company

A Review: Mathematical Modles for Cross Docking Planning

This paper provides a comprehensive literature review of mathematical models in cross docking planning. From the reviews, the models are classified in three different levels regarding its decisions level which are operational, tactical, and strategic level. The researches in operational level are mainly related to develop model in scheduling, dock door assignment, transhipment problem, vehicle routing, and product allocation. For tactical and strategic level, the researches are mainly proposing model to design the layout and the network of cross docking respectively. The contribution of this paper is to realize the gaps of knowledge in strategic, tactical and operational levels and point out the future research directions in cross docking

Modelling and Risk Management in the Offshore and Marine Industry Supply Chain

Supply chain risk management is primarily a process that involves the identification, assessment and mitigation of risks that arise in a particular supply chain system. Pertaining to that, the offshore and marine industry is one of the many industries that have seldom received much consideration when it comes to management of the supply chain system. The rig building facet of the offshore and marine industry was thus chosen as the main focus of the project to manage the risks that arise in a particular oil rig building project. A risk mitigation plan framework was proposed to act as a guideline to identify as much risk as possible, eliminate trivial ones, and subsequently, prioritizing the remaining ones. The final step involves the formulation of a mathematical model based on the selected risk. In this case, the risk of raw material price fluctuation is studied. The demonstration of the Monte Carlo simulation using the Risk Solver program was also done to quantify the risks. Two case scenarios were then developed along with the implementation of risk management techniques in order to observe the effectiveness of the risk management of the overall rig building supply chain

Towards product customization: An integrated order fulfillment system

To stay competitive, manufacturing companies nowadays pursue product customization: and configure-to-order(CTO) has been recognized as an ideal business model to implement product customization. Due to the complexities resulting from the large number of customized products, an increased attention has been paid to the order fulfillment process in CTO. However, most of the solutions delivered either focus on own interested areas without considering the impacts from/on the others or approach order fulfillment processes from a strategic level. In view of the limitations of existing solutions and the significance of order fulfillment activity automation and integration, this study considers the entire spectrum of order fulfillment process at an operational level and, proposes an integrated order fulfillment system (IOFS). The IOFS is designed to (I) automatically execute order processing, which is conventionally undertaken in a face-to-face manner; (2) configure products and process plans based on product and process family models; and (3) allow real-time data extraction and sharing of the latest information. Therefore, it assists companies to quickly respond to diverse customer requirements and deliver the expected products at low costs. An industrial example of turn unit assemblies is presented to demonstrate the feasibility and potential of the IOFS for product customization. (C) 2009 Elsevier B.V. All rights reserved

Procurement risk management under uncertainty: a review

International audienc

Infrastructure for implementing a responsive product development system: a case-based reasoning approach

Responding to unpredictable customer demands and changing design are common in the early stage of new product development, which requires good coordination and collaboration from almost all the functional disciplines of the company. Case-Based Reasoning (CBR), which combines the knowledge-based support philosophy with a simulation of human reasoning when past experience is used to create the design for customer requirement, is used as the underlying approach to establish the knowledge-base. This paper attempts to propose the infrastructure for building a responsive product development system, which is able to inspire designers to develop innovative designs. A Hybrid Information Management Module (HIMM) is responsible for case base transfer and relational database to enable efficient retrieval of the right information to the right person at right time. The significant contribution of this research concerns the introduction of a product development system, which enables the progressive inclusion of machine intelligence features and elements into the entire operation, thereby enhancing the implementation of a responsive product development environment.Department of Industrial and Systems Engineerin