Optimization of PCB component placements for the collect-and-place machines

This paper presents two hybrid genetic algorithms (HGAs) to optimize the component placement operation for the collect-and-place machines in printed circuit board (PCB) assembly. The component placement problem is to optimize (i) the assignment of components to a movable revolver head or assembly tour, (ii) the sequence of component placements on a stationary PCB in each tour, and (iii) the arrangement of component types to stationary feeders simultaneously. The objective of the problem is to minimize the total traveling time spent by the revolver head for assembling all components on the PCB. The major difference between the HGAs is that the initial solutions are generated randomly in HGA1. The Clarke and Wright saving method, the nearest neighbor heuristic, and the neighborhood frequency heuristic are incorporated into HGA2 for the initialization procedure. A computational study is carried out to compare the algorithms with different population sizes. It is proved that the performance of HGA2 is superior to HGA1 in terms of the total assembly time.

An integrated scheduling problem of PCB components on sequential pick-and-place machines:mathematical models and heuristic solutions

This paper formulates several mathematical models for determining the optimal sequence of component placements and assignment of component types to feeders simultaneously or the integrated scheduling problem for a type of surface mount technology placement machines, called the sequential pick-andplace (PAP) machine. A PAP machine has multiple stationary feeders storing components, a stationary working table holding a printed circuit board (PCB), and a movable placement head to pick up components from feeders and place them to a board. The objective of integrated problem is to minimize the total distance traveled by the placement head. Two integer nonlinear programming models are formulated first. Then, each of them is equivalently converted into an integer linear type. The models for the integrated problem are verified by two commercial packages. In addition, a hybrid genetic algorithm previously developed by the authors is adopted to solve the models. The algorithm not only generates the optimal solutions quickly for small-sized problems, but also outperforms the genetic algorithms developed by other researchers in terms of total traveling distance.

The right time and place:strategic positioning for competitive manufacture

Increasingly in the UK, companies that have traditionally considered themselves as manufacturers are being advised to now see themselves as service providers and to reconsider whether to have any production capability. A key challenge is to translate this strategy into a selection of product and service-centred activities within the company's supply chain networks. Strategic positioning is concerned with the choice of business activities a company carries out itself, compared to those provided by suppliers, partners, distributors and even customers. In practice, strategic positioning is directly impacted by such decisions as outsourcing, off-shoring, partnering, technology innovation, acquisition and exploitation. If companies can better understand their strategic positioning, they can make more informed decisions about the adoption of alternative manufacturing and supply chain activities. Similarly, they are more likely to reject those that, like off-shoring, are currently en vogue but are highly likely to erode competitive edge and business success. Our research has developed a new concept we call 'competitive space' as a means of appreciating the strategic positioning of companies, along with a structured decision process for managing competitive space. Our ideas about competitive space, along with the decision process itself, have been developed and tested on a range of manufacturers. As more and more manufacturers are encouraged to move towards system integration and a serviceable business model, the challenge is to identify the appropriate strategic position for their organisations, or in other words, to identify their optimum competitive space for manufacture.

Place, ethnicity and poverty in England’

Examination of the relationship between ethnicity, poverty and place has tended to focus on the spatial distribution of minority ethnic groups. This summary paper reviews some key themes in this literature, in order to review the following key questions: •Where are different ethnic groups located, and how does this location relate to their experience of poverty? •Is clustering a good or bad thing, and what is the role of location – regardless of concentration – in terms of impacts on access to housing, employment, and other resources? However, it is notable that existing research in this area continues to present ethnicity as a factor that shapes outcomes only for minority ethnic groups. A wider discussion increasingly recognises the working of ethnicity in the lives of majority communities. Some of the most consistently impoverished areas in Britain, for example, are in regions with relatively small minority ethnic communities. For example, examinations of poverty in Cornwall (Cemlyn, et al., 2002) and Wales (Kenway and Palmer, 2007) identify longstanding concentrations of poverty and social exclusion among relatively static populations. Instead of assuming that ethnic identity influences propensity to poverty when concentrated in particular places, the experiences of Cornwall and Wales encourage us to consider the manner in which places of poverty also have an ethnic character and the impact of this in the wider experience of poverty. In what follows, and in order to reflect the existing literature, we review key points in the debate about the spatial concentration of minority ethnic groups and the impact of this concentration on experiences of poverty. Where possible, we seek to extend these ideas to consider possible implications for spaces of poverty characterised by concentrations of majority ethnic groups.

A genetic algorithm approach to optimising component placement and retrieval sequence for chip shooter machines

A chip shooter machine in printed circuit board (PCB) assembly has three movable mechanisms: an X-Y table carrying a PCB, a feeder carrier with several feeders holding components and a rotary turret with multiple assembly heads to pick up and place components. In order to get the minimal placement or assembly time for a PCB on the machine, all the components on the board should be placed in a perfect sequence, and the components should be set up on a right feeder, or feeders since two feeders can hold the same type of components, and additionally, the assembly head should retrieve or pick up a component from a right feeder. The entire problem is very complicated, and this paper presents a genetic algorithm approach to tackle it.

A hybrid genetic algorithm for component sequencing and feeder arrangement

This paper presents a hybrid genetic algorithm to optimize the sequence of component placements on a printed circuit board and the arrangement of component types to feeders simultaneously for a pick-and-place machine with multiple stationary feeders, a fixed board table and a movable placement head. The objective of the problem is to minimize the total travelling distance, or the travelling time, of the placement head. The genetic algorithm developed in the paper hybrisizes different search heuristics including the nearest neighbor heuristic, the 2-opt heuristic, and an iterated swap procedure, which is a new improving heuristic. Compared with the results obtained by other researchers, the performance of the hybrid genetic algorithm is superior to others in terms of the distance travelled by the placement head.

Contextual modulation involves suppression and facilitation from the center and the surround

In psychophysics, cross-orientation suppression (XOS) and cross-orientation facilitation (XOF) have been measured by investigating mask configuration on the detection threshold of a centrally placed patch of sine-wave grating. Much of the evidence for XOS and XOF comes from studies using low and high spatial frequencies, respectively, where the interactions are thought to arise from within (XOS) and outside (XOF) the footprint of the classical receptive field. We address the relation between these processes here by measuring the effects of various sizes of superimposed and annular cross-oriented masks on detection thresholds at two spatial scales (1 and 7 c/deg) and on contrast increment thresholds at 7 c/deg. A functional model of our results indicates the following (1) XOS and XOF both occur for superimposed and annular masks. (2) XOS declines with spatial frequency but XOF does not. (3) The spatial extent of the interactions does not scale with spatial frequency, meaning that surround-effects are seen primarily at high spatial frequencies. (4) There are two distinct processes involved in XOS: direct divisive suppression and modulation of self-suppression. (5) Whether XOS or XOF wins out depends upon their relative weights and mask contrast. These results prompt enquiry into the effect of spatial frequency at the single-cell level and place new constraints on image-processing models of early visual processing. © ARVO.

Paediatric 'care closer to home':stake-holder views and barriers to implementation

In this study we explore the views of NHS stakeholders on providing paediatric ‘care closer to home’ (CCTH), in community-based outpatient clinics delivered by consultants. Design: Semi-structured interviews and thematic framework analysis. Setting: UK specialist children's hospital and surrounding primary care trusts. Participants: 37 NHS stakeholders including healthcare professionals, managers, commissioners and executive team members. Results: Participants acknowledged that outreach clinics would involve a change in traditional ways of working and that the physical setting of the clinic would influence aspects of professional practice. Different models of CCTH were discussed, as were alternatives for improving access to specialist care. Participants supported CCTH as a good principle for paediatric outpatient services; however the challenges of setting up and maintaining community clinics meant they questioned how far it could be achieved in practice. Conclusions: The place of service delivery is both an issue of physical location and professional identity. Policy initiatives which ignore assumptions about place, power and identity are likely to meet with limited success.

'Er's from off:the indexicalization and enregisterment of Black Country dialect

This article considers how conscious use of dialect in writing is an intentional act and can be accounted for through the notion of enregisterment. It does this by exploring the value of dialect in social and ideological contexts in relation to a regional dialect of British speech, that of the Black Country in the West Midlands region of England. The article provides a summary of recent directions in sociolinguistic research and an overview of the Black Country speech community, including a summary of its distinctive linguistic variables. This description is then used as an external evaluation of the authenticity of written representations of Black Country speech and the items enregistered in writing. Analysis of three written texts taken from three different genres across a time span of 30 years reveals the extent to which identified linguistic features are drawn upon in each one of the three texts and the extent to which any one is enregisterd across all three. The article discusses the social and linguistic contexts within which the writing occurs by way of accounting for their enregisterment as markers of identity linked to region and place. It also considers the ways in which the texts juxtapose norms and values of those "within" the community with those from "outside" the community in ways that subvert traditional notions of linguistic hierarchy.

The meaning of ‘place’ in families’ lived experiences of paediatric outpatient care in different settings:a descriptive phenomenological study

Health service reforms in the United Kingdom have sought to ensure that children and young people who are ill receive timely, high quality and effective care as close to home as possible. Using phenomenological methods, this study examined the experience and impact of introducing new, community-based paediatric outpatient clinics from the perspective of NHS service-users. Findings reveal that paediatric outpatient ‘care closer to home’ is experienced in ways that go beyond concerns about location and proximity. For families it means care that ‘fits into their lives’ spatially, temporally and emotionally; facilitating a sense of ‘at-homeness’ within the self and within the place, through the creation of a warm and welcoming environment, and by providing timely consultations which attend to aspects of the families’ lifeworld.

Expert systems for vendor selection

The survival of organisations, especially SMEs, depends, to the greatest extent, on those who supply them with the required material input. This is because if the supplier fails to deliver the right materials at the right time and place, and at the right price, then the recipient organisation is bound to fail in its obligations to satisfy the needs of its customers, and to stay in business. Hence, the task of choosing a supplier(s) from a list of vendors, that an organisation will trust with its very existence, is not an easy one. This project investigated how purchasing personnel in organisations solve the problem of vendor selection. The investigation went further to ascertain whether an Expert Systems model could be developed and used as a plausible solution to the problem. An extensive literature review indicated that very scanty research has been conducted in the area of Expert Systems for Vendor Selection, whereas many research theories in expert systems and in purchasing and supply management chain, respectively, had been reported. A survey questionnaire was designed and circulated to people in the industries who actually perform the vendor selection tasks. Analysis of the collected data confirmed the various factors which are considered during the selection process, and established the order in which those factors are ranked. Five of the factors, namely, Production Methods Used, Vendors Financial Background, Manufacturing Capacity, Size of Vendor Organisations, and Suppliers Position in the Industry; appeared to have similar patterns in the way organisations ranked them. These patterns suggested that the bigger the organisation, the more importantly they regarded the above factors. Further investigations revealed that respondents agreed that the most important factors were: Product Quality, Product Price and Delivery Date. The most apparent pattern was observed for the Vendors Financial Background. This generated curiosity which led to the design and development of a prototype expert system for assessing the financial profile of a potential supplier(s). This prototype was called ESfNS. It determines whether a prospective supplier(s) has good financial background or not. ESNS was tested by the potential users who then confirmed that expert systems have great prospects and commercial viability in the domain for solving vendor selection problems.

Optimal production planning for PCB assembly

It is indisputable that printed circuit boards (PCBs) play a vital role in our daily lives. With the ever-increasing applications of PCBs, one of the crucial ways to increase a PCB manufacturer’s competitiveness in terms of operation efficiency is to minimize the production time so that the products can be introduced to the market sooner. Optimal Production Planning for PCB Assembly is the first book to focus on the optimization of the PCB assembly lines’ efficiency. This is done by: • integrating the component sequencing and the feeder arrangement problems together for both the pick-and-place machine and the chip shooter machine; • constructing mathematical models and developing an efficient and effective heuristic solution approach for the integrated problems for both types of placement machines, the line assignment problem, and the component allocation problem; and • developing a prototype of the PCB assembly planning system. The techniques proposed in Optimal Production Planning for PCB Assembly will enable process planners in the electronics manufacturing industry to improve the assembly line’s efficiency in their companies. Graduate students in operations research can familiarise themselves with the techniques and the applications of mathematical modeling after reading this advanced introduction to optimal production planning for PCB assembly.

A heuristic approach for component scheduling on a high-speed PCB assembly machine

The collect-and-place machine is one of the most widely used placement machines for assembling electronic components on the printed circuit boards (PCBs). Nevertheless, the number of researches concerning the optimisation of the machine performance is very few. This motivates us to study the component scheduling problem for this type of machine with the objective of minimising the total assembly time. The component scheduling problem is an integration of the component sequencing problem, that is, the sequencing of component placements; and the feeder arrangement problem, that is, the assignment of component types to feeders. To solve the component scheduling problem efficiently, a hybrid genetic algorithm is developed in this paper. A numerical example is used to compare the performance of the algorithm with different component grouping approaches and different population sizes.