STREAM Journal, Vol. 4, No. 3, pp 1-19. July-September 2005

CONTENTS: One-stop Aqua Shops: an emerging phenomenon in Eastern India, by Graham Haylor, Rubu Mukerjee and S.D. Tripathi. Ranchi One-stop Aqua Shop, by Ashish Kumar. Kaipara One-stop Aqua Shop, by Kuddus Ansary. Bilenjore One-stop Aqua Shop, by Bhawani Sankar Panda. Patnagarh One-stop Aqua Shop, by Dipti Behera and Lingraj Otta. Using bar-coding in a One-stop Aqua Shop, by Christopher Keating

An evaluation of important criteria for measuring the facade condition of old shophouses in Malaysia

Preserving the facade of the old shop houses is important to reflect the image of an attractive townscape. Be-sides having a unique architectural motif, the facade of an old shop houses also has a high heritage value, particularly in terms of how it was built. Therefore, it is desirable to ensure the facade is always in good condition. However, it is difficult to determine the facade of the old shop houses that whether they are in good condition or not. This is because there are no specific criteria used to classify the condition of the facade. Therefore, this study aims to establish a system of criteria for which the facade of the old shop houses that can be assessed and classified in a comprehensive and sustainable. A total of 74 respondents from various professional fields including industry practitioners and academics have been involved in com-pleting the questionnaire. The results of this study will then be used as a basis for the establishment of the classification model for building facade of old shop houses in Malaysia

EFEKTIVITAS IKLAN TOKO ISTANA SPREI MELALUI MEDIA SOSIAL

The Istana Sprei Shop has been selling products in the form of bed sheets and bed covers since 2011. Almost all of the bed sheet and bed cover products offered are self-produced and the Istana Bed Cover Shop serves orders according to customer wishes. The Istana Bed Sheet Store uses Instagram as a medium to communicate with consumers. From these promotional activities, consumers will go through the stages of Attention, Interest, Desire, and take action. The aim of this research is to find out and analyze the grouping of AIDA stages via Instagram social media among consumers of the Istana Sprei shop. The analysis technique used is non-hierarchical clustering or k-means clustering. From the calculations, 2 clusters were formed. The first cluster consisted of 81 members and was named Peduli AIDA. The second cluster consists of 19 members and is called Don't Care AIDA. Based on these results, it is recommended that Istana Sprei shop pay more attention to the promotions it carries out via Instagram social media so that consumers buy the products being promoted and it is hoped that the Istana Sprei shop will use social media such as Tiktok, Facebook, Telegram or the like so that the marketing reach at the Istana Sprei shop is greater. The area and decline in sales volume of the Istana Sprei store can now be overcome

Communication and control in small batch part manufacturing

This paper reports on the development of a real-time control network as an integrated part of a shop floor control system for small batch part manufacturing. The shop floor control system is called the production control system (PCS). The PCS aims at an improved control of small batch part manufacturing systems, enabling both a more flexible use of resources and a decrease in the economical batch size. For this, the PCS integrates various control functions such as scheduling, dispatching, workstation control and monitoring, whilst being connected on-line to the production equipment on the shop floor. The PCS can be applied irrespective of the level of automation on the shop floor. The control network is an essential part of the PCS, as it provides a real-time connection between the different modules (computers) of the PCS, which are geographically distributed over the shop floor. An overview of the requirements of such a control network is given. The description of the design includes the services developed, the protocols used and the physical layout of the network. A prototype of the PCS, including the control network, has been installed and tested in a pilot plant. The control network has proven that it can supply a manufacturing environment, consisting of equipment from different vendors with different levels of automation, with a reliable, low cost, real-time communication facility

Applying Machine Based Decomposition in 2-Machine Flow Shops

The Shifting Bottleneck (SB) heuristic is among the most successful approximation methods for solving the Job Shop problem. It is essentially a machine based decomposition procedure where a series of One Machine Sequencing Problems (OMSPs) are solved. However, such a procedure has been reported to be highly ineffective for the Flow Shop problems (Jain and Meeran 2002). In particular, we show that for the 2-machine Flow Shop problem, the SB heurisitc will deliver the optimal solution in only a small number of instances. We examine the reason behind the failure of the machine based decomposition method for the Flow Shop. An optimal machine based decomposition procedure is formulated for the 2-machine Flow Shop, the time complexity of which is worse than that of the celebrated Johnsons Rule. The contribution of the present study lies in showing that the same machine based decomposition procedures which are so successful in solving complex Job Shops can also be suitably modified to optimally solve the simpler Flow Shops.

Sequencing CONWIP flow-shops: Analysis and heuristics

In this paper, we address the backlog sequencing problem in a flow-shop controlled by a CON\VIP production control system with the objective to minimise the make span We characterise the problem and analyse its similarities and differences with the permutation flow-shop problem A comparison of same well-known flow-shop heuristics is carried out and a simple and fast dispatching rule is proposed. Regarding the more simple and faster heuristics, the proposed dispatching rule outperforms those commonly used for the permutation flow-shop problem. --Scheduling,Sequencing,Flow-Shop,Constant Work in Process (CONWIP),Heuristics,Dispatching Rules

The Integration of Process Planning and Shop Floor Scheduling in Small Batch Part Manufacturing

In this paper we explore possibilities to cut manufacturing leadtimes and to improve delivery performance in a small batch part manufacturing shop by integrating process planning and shop floor scheduling. Using a set of initial process plans (one for each order in the shop), we exploit a resource decomposition procedure to determine schedules to determine schedules which minimize the maximum lateness, given these process plans. If the resulting schedule is still unsatisfactory, a critical path analysis is performed to select jobs as candidates for alternative process plans. In this way, an excellent due date performance can be achieved, with a minimum of process planning and scheduling effort

Does Order Negotiation Improve The Job-Shop Workload Control?

Work flows in a job-shop are determined not only by the release load and the time between release factors, but also by the number of accepted orders. There has been extensive research on workload and input-output control aiming at improving the performance of manufacturing operations in job-shops. This paper explores the idea of controlling the workload since the acceptance/rejection of orders stage. A new acceptance/rejection rule is proposed, and tests are conducted to study the sensitivity of job-shop performance to different order acceptance parameters, like the tolerance of the workload limit and the due date extension acceptance. It also evaluates the effect of the negotiation phase of the proposed acceptance rule on the job-shop performance using a simulation model of a generic random job-shop. The extensive simulation experiments allow us to conclude that having a negotiation phase prior to rejection improves almost all workload performance measures. We also conclude that different tolerances of the workload limit affect slightly the performance of the job-shop.job shop, order negotiation, workload control

Scheduling of non-repetitive lean manufacturing systems under uncertainty using intelligent agent simulation

World-class manufacturing paradigms emerge from specific types of manufacturing systems with which they remain associated until they are obsolete. Since its introduction the lean paradigm is almost exclusively implemented in repetitive manufacturing systems employing flow-shop layout configurations. Due to its inherent complexity and combinatorial nature, scheduling is one application domain whereby the implementation of manufacturing philosophies and best practices is particularly challenging. The study of the limited reported attempts to extend leanness into the scheduling of non-repetitive manufacturing systems with functional shop-floor configurations confirms that these works have adopted a similar approach which aims to transform the system mainly through reconfiguration in order to increase the degree of manufacturing repetitiveness and thus facilitate the adoption of leanness. This research proposes the use of leading edge intelligent agent simulation to extend the lean principles and techniques to the scheduling of non-repetitive production environments with functional layouts and no prior reconfiguration of any form. The simulated system is a dynamic job-shop with stochastic order arrivals and processing times operating under a variety of dispatching rules. The modelled job-shop is subject to uncertainty expressed in the form of high priority orders unexpectedly arriving at the system, order cancellations and machine breakdowns. The effect of the various forms of the stochastic disruptions considered in this study on system performance prior and post the introduction of leanness is analysed in terms of a number of time, due date and work-in-progress related performance metrics