Three parallel algorithms for classical molecular dynamics are presented. The first assigns each processor a fixed subset of atoms; the second assigns each a fixed subset of inter-atomic forces to compute; the third assigns each a fixed spatial region. The algorithms are suitable for molecular dynamics models which can be difficult to parallelize efficiently—those with short-range forces where the neighbors of each atom change rapidly. They can be implemented on any distributed-memory parallel machine which allows for message-passing of data between independently executing processors. The algorithms are tested on a standard Lennard-Jones benchmark problem for system sizes ranging from 500 to 100,000,000 atoms on several parallel supercomputers--the nCUBE 2, Intel iPSC/860 and Paragon, and Cray T3D. Comparing the results to the fastest reported vectorized Cray Y-MP and C90 algorithm shows that the current generation of parallel machines is competitive with conventional vector supercomputers even for small problems. For large problems, the spatial algorithm achieves parallel efficiencies of 90% and a 1840-node Intel Paragon performs up to 165 faster than a single Cray C9O processor. Trade-offs between the three algorithms and guidelines for adapting them to more complex molecular dynamics simulations are also discussed.

Fast parallel algorithms for short-range molecular dynamics

Traditional engineering instruction is deductive, beginning with theories and progressing to the applications of those theories Alternative teaching approaches are more inductive Topics are introduced by presenting specific observations, case studies or problems, and theories are taught or the students are helped to discover them only after the need to know them has been established This study reviews several of the most commonly used inductive teaching methods, including inquiry learning, problem-based learning, project-based learning, case-based teaching, discovery learning, and just-in-time teaching The paper defines each method, highlights commonalities and specific differences, and reviews research on the effectiveness of the methods While the strength of the evidence varies from one method to another, inductive methods are consistently found to be at least equal to, and in general more effective than, traditional deductive methods for achieving a broad range of learning outcomes

Inductive Teaching and Learning Methods: Definitions, Comparisons, and Research Bases

Big data analytics in logistics and supply chain management: Certain investigations for research and applications

Much effort goes into building markets as a tool for economic and social development, often overlooking that in too many places social exclusion and poverty prevent many, especially women, from participating in and accessing markets. Building on data from rural Bangladesh and analyzing the work of a prominent intermediary organization, we uncover institutional voids as the source of market exclusion and identify two sets of activities – redefining market architecture and legitimating new actors – as critical for building ‘inclusive' markets. We expose voids as ‘analytical spaces' and illustrate how they result from conflict and contradiction among institutional ‘bits and pieces' from local political, community, and religious spheres. Our findings put forward a perspective on market building that highlights the ‘on the ground' dynamics and attends to the ‘institutions at play', to their consequences, and to a more diverse set of ‘inhabitants' of institutions.

Building Inclusive Markets in Rural Bangladesh : How Intermediaries Work Institutional Voids

Purpose



– The advent of recession at the beginning of twenty-first century forced many organizations worldwide to reduce cost and to be more responsive to customer demands. Lean Manufacturing (LM) has been widely perceived by industry as an answer to these requirements because LM reduces waste without additional requirements of resources. This led to a spurt in LM research across the globe mostly through empirical and exploratory studies which resulted in a plethora of LM definitions with divergent scopes, objectives, performance indicators, tools/techniques/methodologies, and concepts/elements. The purpose of this paper is to review LM literature and report these divergent definitions, scopes, objectives, and tools/techniques/methodologies. 




Design/methodology/approach



– This paper highlights various definitions by various researchers and practitioners. A total of 209 research papers have been reviewed for the research contribution, research methodology adopted, tools/techniques/methodologies used, type of industry, author profile, country of research, and year of publication. 




Findings



– There are plethora of LM definitions with divergent objectives and scope. Theory verification through empirical and exploratory studies has been the focus of research in LM. Automotive industry has been the focus of LM research but LM has also been adopted by other types of industries also. One of the critical implementation factors of LM is simultaneous adoption of leanness in supply chain. LM has become an integrated system composed of highly integrated elements and a wide variety of management practices. There is lack of standard LM implementation process/framework. 




Originality/value



– The paper reviews 209 research papers for their research contribution, research methodology, author profile, type of industry, and tools/techniques/methodology used. Various characteristics of LM definitions are also reviewed.

Lean manufacturing: literature review and research issues

Environmental impact assessment of fly ash and silica fume based geopolymer concrete

Prediction and optimization of machining parameters for minimizing power consumption and surface roughness in machining

Gainful utilization of waste marble powder in various construction practices has become a topic of interest in research areas. An overview of works reported regarding the use as partial replacement of sand and cement by marble powder in concrete is presented in the paper. Gaps in the studies to date have been pointed out. An environmental impact comparison of normal concrete with the use of marble powder as partial replacement of cement and sand is carried out using the UMBERTO NXT life cycle analysis software with ReCipe midpoint and endpoint methods. Finally, a detailed cost analysis study has been performed to justify the use of marble powder in concrete which has exhibited encouraging results in terms of strength and quality. It has also been found that the use of marble slurry in concrete reduces its environmental impact and is economically beneficial.

Kuldip Singh Sangwan

Papers

Lean manufacturing: literature review and research issues

Environmental impact assessment of fly ash and silica fume based geopolymer concrete

Prediction and optimization of machining parameters for minimizing power consumption and surface roughness in machining

A study on environmental and economic impacts of using waste marble powder in concrete

Optimization of Machining Parameters to Minimize Surface Roughness using Integrated ANN-GA Approach