Brass alloy blending problem from quality and cost perspectives: A multi-objective optimization approach

WOS:000595657400032Brass alloy is a composition of copper and zinc and it also includes lead, iron, tin, aluminum, nickel, antimony if necessary. One of the basic problems in brass casting is to determine which pure and scrap materials will be mixed at what quantities; this problem is known as the blending problem. The ingredient ratios of pure materials are exactly known, however they are expensive. The scrap materials are cheaper than the pure ones with varying ingredient ratios. Stochastic mathematical models aiming to minimize blend cost have been developed in the literature. In the solutions of these models, some of the ingredient ratios exactly equal to the specification limits. Because of the variation, some of them may violate the specification limits and cause quality problems in the actual blends. There is only one study in the literature to solve the quality problem by maximizing the process capability index. However, the blend cost increases when the process capability index maximized. In this study, a multiobjective stochastic mathematical model, which aims both to minimize blend cost and to maximize process capability index, has been developed. The developed model has been converted to a deterministic non-linear counterpart by using chance-constrained programming. Then, fuzzy programming is used to transform the multiobjective model into a single objective one. A solution procedure has been proposed to use it effectively in real life applications. The developed model and solution procedure have been tested by the data supplied from a brass factory. The solution of the numerical example has shown that the developed model and solution procedure can be used successfully in real life applications

A decision support system for supplier selection and order allocation in stochastic, multi-stakeholder and multi-criteria environments

Integrated supplier selection and order allocation is an important decision for both designing and operating supply chains. This decision is often influenced by the concerned stakeholders, suppliers, plant operators and customers in different tiers. As firms continue to seek competitive advantage through supply chain design and operations they aim to create optimized supply chains. This calls for on one hand consideration of multiple conflicting criteria and on the other hand consideration of uncertainties of demand and supply. Although there are studies on supplier selection using advanced mathematical models to cover a stochastic approach, multiple criteria decision making techniques and multiple stakeholder requirements separately, according to authors' knowledge there is no work that integrates these three aspects in a common framework. This paper proposes an integrated method for dealing with such problems using a combined Analytic Hierarchy Process-Quality Function Deployment (AHP-QFD) and chance constrained optimization algorithm approach that selects appropriate suppliers and allocates orders optimally between them. The effectiveness of the proposed decision support system has been demonstrated through application and validation in the bioenergy industry

A Production Planning Model for Make-to-Order Foundry Flow Shop with Capacity Constraint

The mode of production in the modern manufacturing enterprise mainly prefers to MTO (Make-to-Order); how to reasonably arrange the production plan has become a very common and urgent problem for enterprises’ managers to improve inner production reformation in the competitive market environment. In this paper, a mathematical model of production planning is proposed to maximize the profit with capacity constraint. Four kinds of cost factors (material cost, process cost, delay cost, and facility occupy cost) are considered in the proposed model. Different factors not only result in different profit but also result in different satisfaction degrees of customers. Particularly, the delay cost and facility occupy cost cannot reach the minimum at the same time; the two objectives are interactional. This paper presents a mathematical model based on the actual production process of a foundry flow shop. An improved genetic algorithm (IGA) is proposed to solve the biobjective problem of the model. Also, the gene encoding and decoding, the definition of fitness function, and genetic operators have been illustrated. In addition, the proposed algorithm is used to solve the production planning problem of a foundry flow shop in a casting enterprise. And comparisons with other recently published algorithms show the efficiency and effectiveness of the proposed algorithm

Stochastic multi-period multi-product multi-objective Aggregate Production Planning model in multi-echelon supply chain

In this paper a multi-period multi-product multi-objective aggregate production planning (APP) model is proposed for an uncertain multi-echelon supply chain considering financial risk, customer satisfaction, and human resource training. Three conflictive objective functions and several sets of real constraints are considered concurrently in the proposed APP model. Some parameters of the proposed model are assumed to be uncertain and handled through a two-stage stochastic programming (TSSP) approach. The proposed TSSP is solved using three multi-objective solution procedures, i.e., the goal attainment technique, the modified ε-constraint method, and STEM method. The whole procedure is applied in an automotive resin and oil supply chain as a real case study wherein the efficacy and applicability of the proposed approaches are illustrated in comparison with existing experimental production planning method

Index to 1986 NASA Tech Briefs, volume 11, numbers 1-4

Short announcements of new technology derived from the R&D activities of NASA are presented. These briefs emphasize information considered likely to be transferrable across industrial, regional, or disciplinary lines and are issued to encourage commercial application. This index for 1986 Tech Briefs contains abstracts and four indexes: subject, personal author, originating center, and Tech Brief Number. The following areas are covered: electronic components and circuits, electronic systems, physical sciences, materials, life sciences, mechanics, machinery, fabrication technology, and mathematics and information sciences

Informing Sustainable Standards in 'The Circular Economy' utilising technological and data solutions

In our world of make, use and throw away we are now doing more damage to the planet than good, and this mindset has become unsustainable. One of the solutions to this problem is the ‘Circular Economy’ (CE). The CE replaces the concept of end-of-life production with restoration of natural systems, innovative design to design out waste and keeping products and materials in circulation for as long as possible. This research will use data science and statistical information to provide a solid foundation (framework) for standards developers to frame the development of standards for the CE. The research will extend the current CE model by interjecting innovative ideas into areas of the CE process: data analysis, restriction of harmful chemicals removing them from the supply chain, research into Local Value Creation (LVC) and research into Sustainable Development in the CE. The research will investigate how Radio Frequency Identification (RFID) tagging of products and materials provide a realistic way to trace products and materials in a CE management system. It will also expand the knowledge on digitization in standards development by analyzing key data streams connected to the CE in order to inform the standards development community of the need to develop a standard on the CE. This research will use a mixed methodology by combining quantitative methods (data analysis) and qualitative data (case studies). This will be detailed in Chapter 3 – Methodology. The data collected from the literature review will drive four main Sections and four research questions in Chapter 4. This research will analyse through Case Studies and research papers the uptake of circular thinking in China and the Ellen MacArthur Foundation and use the outcomes positive or negative to show practical applications for this research.The objective conclusion of this research is to provide a framework for a European or International standard in order to fill the gap as no such Standard currently exists European or Internationally that addresses the CE. A Framework with inclusions from the research will form a usable output from the research. This research will inform or be of interest to the Standards development community, data scientists, Circular Economy practitioners and environmental regulators. The aim of this research is to provide a framework standard using underlying data and statistical information needed to develop a new Standard on the Circular Economy. Once a Standard is developed and published it can be used by any organisation or group of organisations, country or individual wishing to manage internally and collectively their activities in order to transition to the CE and the Sustainable Development goal of responsible consumption and production. This research has produced a framework from which sustainable standards can be developed. The data acquired from using RFID tags imbedded in products allows manufacturers to control and analyse the materials in their products specific to hazardous chemicals. This data can also be used to track the product through the supply chain and onto its product life cycle. The data gathered in the product example in this thesis tracks the potential use of hazardous chemicals in the product, this is important information for endof-life decisions to be made on the product. The data can then be used to develop requirements and testing regimes for circular economy standards. Having identified some of the main areas of future activity in the CE, this research i.e., the circular economy, data science and standards development will continue to evoke research in the CE for the foreseeable future

2006-2007 Lynn University Academic Catalog

https://spiral.lynn.edu/accatalogs/1026/thumbnail.jp

2012-2013 Lynn University Academic Catalog

https://spiral.lynn.edu/accatalogs/1033/thumbnail.jp

UTB/TSC Legacy Degree Programs and Courses 2012 – 2013

https://scholarworks.utrgv.edu/brownsvillelegacycatalogs/1028/thumbnail.jp