Critical Management Issues for Implementing RFID in Supply Chain Management

The benefits of radio frequency identification (RFID) technology in the supply chain are fairly compelling. It has the potential to revolutionise the efficiency, accuracy and security of the supply chain with significant impact on overall profitability. A number of companies are actively involved in testing and adopting this technology. It is estimated that the market for RFID products and services will increase significantly in the next few years. Despite this trend, there are major impediments to RFID adoption in supply chain. While RFID systems have been around for several decades, the technology for supply chain management is still emerging. We describe many of the challenges, setbacks and barriers facing RFID implementations in supply chains, discuss the critical issues for management and offer some suggestions. In the process, we take an in-depth look at cost, technology, standards, privacy and security and business process reengineering related issues surrounding RFID technology in supply chains

Heuristic Solutions for Loading in Flexible Manufacturing Systems

Production planning in flexible manufacturing system deals with the efficient organization of the production resources in order to meet a given production schedule. It is a complex problem and typically leads to several hierarchical subproblems that need to be solved sequentially or simultaneously. Loading is one of the planning subproblems that has to addressed. It involves assigning the necessary operations and tools among the various machines in some optimal fashion to achieve the production of all selected part types. In this paper, we first formulate the loading problem as a 0-1 mixed integer program and then propose heuristic procedures based on Lagrangian relaxation and tabu search to solve the problem. Computational results are presented for all the algorithms and finally, conclusions drawn based on the results are discussed

All-electric LNG a viable alternative to conventional gas turbine driven LNG plant

The world demand for natural gas which is at an increasing trend has rekindled interest in the production and transportation of Liquefied Natural Gas (LNG) from resource rich areas in Africa, Middle East, Far East, Australia and Russia to customers in Europe, Americas, China and India. The challenges for the future are to produce and transport gas in a cost effective manner to be competitive in the market place. Gas is beginning to play an increasingly important role in energy scenario of the world economy. The easiest ways of getting gas to the market is by pipe lines. However to reach markets far and wide across oceans, gas needs to be converted and transported in liquid form. Competitive pressure and search for economies of scale is driving up the size of LNG facilities and hence the capital requirement of each link of the value chain. Interdependent financing of the various links of the value chain, while maintaining their economic viability, is the challenge that sponsors need to address. The industry is potentially a high risk business due to uncertainty associated with the characteristics of the industry, which calls for high level of investment in an environment of volatility of the price and political and economic changes in the world market. LNG production facilities are becoming larger and larger than ever before to take advantage of economies of scale. These massive plants not only have created new challenges in design, procurement and construction and environment but will create new challenges in operation and maintenance. Innovative technologies and first of a kind equipment applications with a rigorous technology development and a stringent testing plans ensure that the facility will achieve a long term reliable operation. Conventional LNG plants use Gas Turbine as main drivers for refrigerant compressors. To this effect All-Electric LNG has a potential to provide an alternative offer a life cycle advantage over the convention. Hence it would be worthwhile to study the pros and cons and prospects offered by this new technology from an overall life cycle perspective for future of LNG projects. This research is an endeavours in this direction

To find the correlation between transverse cerebellar diameter measured by cranial ultrasound within 48 h of birth and gestational age as estimated by last menstrual period

Background: Gestational age (GA) may be assessed at any time during pregnancy, and several modes of assessment exist, each requiring better diagnostic techniques that may result in more precise estimates of GA, which could lead to quicker medical management of a pregnant patient. The largest diameter across both hemispheres, measured from outer to outer margin, is the transverse cerebellar diameter (TCD). Aims and Objectives: We aimed to predict the correlation between TCD measured by cranial ultrasound within 48 h of birth and GA as estimated by the last menstrual period. Materials and Methods: The present study was conducted in the Department of Pediatrics, Dr. S. N. Medical College, Jodhpur, Rajasthan. Ethical clearance was obtained from the Institutional Ethical Committee. It was a cross-sectional observational study and the duration of the study was 6 months. We split the population into three groups based on GA: (a) <32 weeks of GA, (b) 32–36+6 days of GA, and (c) 37–42 weeks of GA. We enrolled 25 neonates from each group. Results: A very strong positive correlation between TCD and GA in infants was <32 weeks of gestation age, in infants 32–36 weeks+6 days of gestation age, and in infants 37–42 weeks of gestation age. Regression analysis shows a very strongly significant relationship. Hence, the TCD is a better predictor of GA in the third trimester. Our study reported that there is a close relationship between TCD and GA, with TCD increasing linearly from <32 weeks to 42 weeks. GA can be predicted to be 1.43 weeks by assessing TCD on neonatal cranial ultrasonography images. Conclusion: The TCD is a better predictor of GA in the third trimester. Our study reported that there is a close relationship between TCD and GA, with TCD increasing linearly from <32 weeks to 42 weeks

GestaltMatcher Database - A global reference for facial phenotypic variability in rare human diseases

The most important factor that complicates the work of dysmorphologists is the significant phenotypic variability of the human face. Next-Generation Phenotyping (NGP) tools that assist clinicians with recognizing characteristic syndromic patterns are particularly challenged when confronted with patients from populations different from their training data. To that end, we systematically analyzed the impact of genetic ancestry on facial dysmorphism. For that purpose, we established the GestaltMatcher Database (GMDB) as a reference dataset for medical images of patients with rare genetic disorders from around the world. We collected 10,980 frontal facial images - more than a quarter previously unpublished - from 8,346 patients, representing 581 rare disorders. Although the predominant ancestry is still European (67%), data from underrepresented populations have been increased considerably via global collaborations (19% Asian and 7% African). This includes previously unpublished reports for more than 40% of the African patients. The NGP analysis on this diverse dataset revealed characteristic performance differences depending on the composition of training and test sets corresponding to genetic relatedness. For clinical use of NGP, incorporating non-European patients resulted in a profound enhancement of GestaltMatcher performance. The top-5 accuracy rate increased by +11.29%. Importantly, this improvement in delineating the correct disorder from a facial portrait was achieved without decreasing the performance on European patients. By design, GMDB complies with the FAIR principles by rendering the curated medical data findable, accessible, interoperable, and reusable. This means GMDB can also serve as data for training and benchmarking. In summary, our study on facial dysmorphism on a global sample revealed a considerable cross ancestral phenotypic variability confounding NGP that should be counteracted by international efforts for increasing data diversity. GMDB will serve as a vital reference database for clinicians and a transparent training set for advancing NGP technology.</p

An Effective Heuristic for Minimizing Makespan on Unrelated Parallel Machines

Scheduling independent tasks on unrelated machines is a relatively difficult and challenging problem. In this paper, we develop a tabu search based heuristic for minimising makespan for the above problem that can provide good quality solutions for practical size problems within a reasonable amount of computational time. Our adaptation of this tabu search uses hashing to control the tabu restrictions of the search process and requires fewer critical parameters than many of the common tabu search approaches employed for combinatorial optimisation. Hashing is simple to implement and very effective in providing a near-optimal solution. Computational results are presented to demonstrate the effectiveness of the proposed heuristic

Radio frequency ID technology: The next revolution in SCM

A major advancement is taking place in supply chain management. Radio frequency identification technology has now been developed to the point at which it can provide suppliers, manufacturers, distributors, and retailers with precise realtime information on where their products are in the supply chain—information that can be valuable in terms of improving SCM efficiencies and revenue generation. Several companies in the food and consumer packaged goods industries are involved in one or more major RFID pilot programs. This article describes the critical trends and implications of applying this technology to SCM, detailing its benefits as well as the impediments to implementation

Radio Frequency ID Technology: The Next Revolution in SCM (BH153)

A major

An improved lower bound for the bin packing problem

AbstractThis paper unifies and generalizes the existing lower bounds for the one-dimensional bin packing problem. The generalization is motivated by and based on the work of Martello and Toth (this journal, 1990). The worst-case performance of the unified lower bound is analyzed and two new lower bounds are proposed and compared with existing lower bounds through numerical experiments

Batching in Production Planning for Flexible Manufacturing Systems

Generally, production planning in flexible manufacturing systems is hierarchically grouped into two subproblems: batching and loading. These two subproblems can be solved either sequentially or simultaneously to generate a feasible production plan. This paper focuses on the batching problem which partitions the given production order of part types into batches that can be processed with the limited production resources such as the capacity of the tool magazines, pallets, fixtures and available machine time. A 0–1 integer program is formulated to address the batching problem and a simulated annealing algorithm is proposed for solving it. A systematic computational test is conducted to test the performance of the proposed algorithm. The results show that the simulated annealing algorithm can provide high-quality solutions in a reasonable amount of time for practical size problems