Students Working in Carpentry Shop at the New York Trade School

This black and white photograph shows students at work benches in part of the carpentry workshop at the New York Trade School. Beyond the benches two students can be seen working on framing in the rear of the classroom.

Electrical Wiring Shop at the New York Trade School

The electrical wiring shop at the New York Trade School is shown with students working. In the background, the planning area with draft tables can also be seen. Black and white photograph.

Why women shop : secrets revealed

This book is dedicated to women who shop. All retailers and the many industries associated with retail will gain useful knowledge from this book. It will also provide enlightenment for women themselves and their partners who are fascinated by the compulsion to shop. Minahan at Deakin Uni, Vic and Beverland at Uni of Melbourne, Vic.

Benchmark generation algorithm for stochastic mixed model assembly shop simulation and optimization

The Operations Research (OR) community have defined many deterministic manufacturing control problems mainly focused on scheduling. Well-defined benchmark problems provide a mechanism for communication of the effectiveness of different optimization algorithms. Manufacturing problems within industry are stochastic and complex. Common features of these problems include: variable demand, machine part specific breakdown patterns, part machine specific process durations, continuous production, Finished Goods Inventory (FGI) buffers, bottleneck machines and limited production capacity. Discrete Event Simulation (DES) is a commonly used tool for studying manufacturing systems of realistic complexity. There are few reports of detail-rich benchmark problems for use within the simulation optimization community that are as complex as those faced by production managers. This work details an algorithm that can be used to create single and multistage production control problems. The reported software implementation of the algorithm generates text files in eXtensible Markup Language (XML) format that are easily edited and understood as well as being cross-platform compatible. The distribution and acceptance of benchmark problems generated with the algorithm would enable researchers working on simulation and optimization of manufacturing problems to effectively communicate results to benefit the field in general.

Design of user interfaces for job shop environment

User-computer interface development has gone through rapid development in recent years. These developments, however, have not yet been fully implemented in management information system (MIS) design for job shop manufacturing situations. Most of the commercially available MISs are operationally inflexible and do not support management in report generation and decision making, particularly in job shops. This paper describes a framework in developing system user interfaces for job shop manufacturing situations to highlight how a generic information system can be made more useful to managerial decision making. Object-oriented programming technology has been used to provide flexible access to information stored by a generic MIS. Twenty interfacing programs have been developed. For illustration, only three of those interface programs relating to generation of strategic level management reports are discussed here.

Press shop machine analysis and trending

Historically downtime data collection and reporting systems in many automotive body panel press shops has been somewhat adhoc. The impetus for this study stems from frustration in respect of how this data is collected, assessed for trends and presented. Ideally this data should be used to identify costly repetitious faults for actioning of maintenance work and for feedback to tool design for consideration when designing new parts.

Presently this data is stored largely in the form of tacit knowledge by press shop operators; the encumbrance of transferring such information being that there is very often only limited channels to quantify it into something more tangible. Findings show that there tend to be two related obstacles to plant data recording. The first is that automation of down time data collection alone cannot determine fault causes as the majority of press shop events are initiated primarily from operator observation. The second is that excessive subjective operator input can often result in confusion and end up taking greater time in recording than remedying the actual fault.

This Paper presents the development of a system that through press mounted touchscreens encourages basic subjective operator input and relates this with basic objective data such as timekeeping. In this way all responses for a given press line become valuable and can be trended and placed in a hierarchy based on their percentage contribution to downtime or statistical importance. This then is capable of statistically alerting maintenance, line flow and/or toolbuild areas as to what issues require their most urgent attention.

Get to know your local games shop

Provides information on the mathematical potential of commercial board games. Mastermind; Snakes and Ladders; Ludo.