Papers by Paul Mangiameli
This paper examines an eight tier (including a tier for end users) supply chain whose end product... more This paper examines an eight tier (including a tier for end users) supply chain whose end product is an oven range. Categories of quality attributes were determined and seven entities were interviewed on topics that included definitions of quality for each organization in the chain along with the inter-organizational effects of quality within the supply chain. Although proven financially successful, the chain was found to have no integrated management of quality goals as well as no common focus on the end user
This paper examines an eight tier (including a tier for end users) supply chain whose end product... more This paper examines an eight tier (including a tier for end users) supply chain whose end product is an oven range. Categories of quality attributes were determined and seven entities were interviewed on topics that included definitions of quality for each organization in the chain along with the inter-organizational effects of quality within the supply chain. Although proven financially successful, the chain was found to have no integrated management of quality goals as well as no common focus on the end user
Iq, 2008
Data quality remains a persistent problem in practice and a challenge for research. In this study
Journal of Business Research, 2012
This special section grew from a need to apply mindful practices to healthcare in order to reach ... more This special section grew from a need to apply mindful practices to healthcare in order to reach highly reliable outcomes. The six articles in this special section, led by Ellen Langer's masterful article on the mindful use of medical information by both physicians and patients, cover a wide variety of healthcare organizations and a diverse geographic setting.
Http Dx Doi Org 10 1080 00137918008902871, May 21, 2007
International Journal of Operations & Production Management, 2000
ABSTRACT In treating both sewage and storm runoff, wastewater treatment plants are important to m... more ABSTRACT In treating both sewage and storm runoff, wastewater treatment plants are important to maintaining a healthy environment. If the plant operations managers do not respond correctly to plant conditions, environmental damage resulting in the deterioration of human health may be the result. Unfortunately, there are no formal models to help these managers; they rely upon their own intuition to manage the plants. The purpose of this paper is to investigate the effectiveness of various models, originally used for manufacturing, to detect process conditions in wastewater treatment facilities. We compare and contrast the performance of five statistical models and three neural network architectures. The data used in the research is 527 daily measurements of 38 sensor readings of the process state variables of an urban wastewater treatment plant.
Managerial and Decision Economics
Manufacturers are faced with three options for disposing of excess finished items: they can (1) c... more Manufacturers are faced with three options for disposing of excess finished items: they can (1) continue to mark down the item until it sells; (2) dispose of or scrap it; or (3) salvage it in order to reclaim valuable raw materials and components. In many situations the option of a markdown is not viable, thus the choice is to either scrap or salvage. Although many manufacturers have invested in salvage equipment, they have not deduced the impact of this investment as it affects not only the risk-adjusted value of the project but also the production run size and the selling price. Hence, their decisions frequently turn out to be suboptimal. This paper develops a project-valuation model that adds a new dimension to traditional capital budgeting decisions by incorporating salvage capacity.
International Journal of Operations & Production Management
In treating both sewage and storm runoff, wastewater treatment plants are important to maintainin... more In treating both sewage and storm runoff, wastewater treatment plants are important to maintaining a healthy environment. If the plant operations managers do not respond correctly to plant conditions, environmental damage resulting in the deterioration of human health may be the result. Unfortunately, there are no formal models to help these managers; they rely upon their own intuition to manage the plants. The purpose of this paper is to investigate the effectiveness of various models, originally used for manufacturing, to detect process conditions in wastewater treatment facilities. We compare and contrast the performance of five statistical models and three neural network architectures. The data used in the research is 527 daily measurements of 38 sensor readings of the process state variables of an urban wastewater treatment plant.
Data Mining Methods and Applications, 2007
During the development stages of a new product, a firm needs to determine what product features t... more During the development stages of a new product, a firm needs to determine what product features to add, the selling price, the production capacity that must be allocated to the product, and how this product with its bundle of features will affect the firm's share value. In this paper we develop a cash flow model for a product in the design stage where desirable features may or may not be added to thebasic product. Contingent claims pricing techniques are used to calculate the present value of the cash flows and to provide a framework for determining the bundle of features and the pricing and production strategies that maximize the firm's value. The results indicate that under certain conditions additional product features may be desirable even when the premium that can be added to the price due to the new features is lower than the unit cost of producing the features. The paper analyzes the impact of demand volatility, the growth rate of demand, the price sensitivity of demand, and the split of costs between variable and fixed on the decision to add features.
This paper uses the methodology of an intervention case study to examine a manufacturing process ... more This paper uses the methodology of an intervention case study to examine a manufacturing process for bending metal tubes into oven flues. We found that the manufacturer, Stanley Engineered Components (SEC), was producing parts that were not acceptable to its major customer yet its processes were in control. Our analysis of the situation led us to theorize that: (1) manufacturers do not distinguish between out of control and out of specification situations, (2) once this distinction is made then process capability indices should be part of the decision making about the quality of the process, (3) various univariate and multivariate models can be fitted to sample data, and (4) the choice of the best model fit should be based upon the smallest error term and this error term should be chosen to directly relate to the managerial decisions that must be made. In the case of SEC where the decision was to determine if the process drifted from a specified target then the appropriate error mea...
The Engineering Economist, 1980
Omega, 1999
Manufacturing processes are increasingly subject to tighter control and more frequent monitoring,... more Manufacturing processes are increasingly subject to tighter control and more frequent monitoring, in many cases using real time data collection systems. It is now recognized that complex interactions of auto and cross-correlation exist in data observations from process industries, batch processes, and the traditional parts industry. New control models that capture both multivariate and time series eects are needed to eectively monitor manufacturing processes. In this research, we investigate the ability of radial basis function neural networks to monitor and control complex manufacturing processes that exhibit both auto and cross-correlation. We demonstrate that the radial basis function network is superior to three control models recently proposed for complex manufacturing processes: multivariate Shewhart, multivariate EWMA, and a feed forward neural network with logistic units trained by backpropagation (often called a back-propagation neural network). #
Managerial and Decision Economics, 1992
Manufacturers are faced with three options for disposing of excess finished items: they can (1) c... more Manufacturers are faced with three options for disposing of excess finished items: they can (1) continue to mark down the item until it sells; (2) dispose of or scrap it; or (3) salvage it in order to reclaim valuable raw materials and components. In many situations the option of a markdown is not viable, thus the choice is to either scrap or salvage. Although many manufacturers have invested in salvage equipment, they have not deduced the impact of this investment as it affects not only the risk-adjusted value of the project but also the production run size and the selling price. Hence, their decisions frequently turn out to be suboptimal. This paper develops a project-valuation model that adds a new dimension to traditional capital budgeting decisions by incorporating salvage capacity.
Journal of Operations Management, 1983
This paper tests the eflects of three workforce strategies on a multistage, multiproduct manufact... more This paper tests the eflects of three workforce strategies on a multistage, multiproduct manufacturing system under various operating conditions. These three strategies are those that are predominant in today's world economics. One type is a chase strategy, often used by firms that employ low skilled workers and faced with seasonal product demands, where workforce levels fluctuate according to increases and decreases in production requirements. A level-flexible strategy, commonly called the Toyota system, keeps the aggregate workforce at a constant size but by having flexibly trained workers it can allow transfers of workers between various departments and processes as production requirements dictate. The third major type is a level-inflexible strategy, such as that used on mass-assembly lines employed by American automobile manufacturers. Under this strategy, the number of workers remains constant in each department as well as at the aggregate level regardless of short term changes in the production requirements. The manufacturing system is envisioned as a sequential planning process with interrelated decisions made at the levels of aggregate planning, master production scheduling, and departmental planning. This process is modeled as a zero-one mixed integer program. The operating conditions under which the strategies are tested are the variability of demand, the level of service, and the degree of inventory investment. The strategies are statistically tested as to their eflects on jive criteria: average weekly workforce size, average quarterly inventory investment, average weekly overtime, total setups and the average weekly ratio of departmental load to capacity.
Integrated Manufacturing Systems, 2001
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Papers by Paul Mangiameli