A Value-Based Approach for Sustainable Supplier-Customer Relationships: The Case of the Indian Steel Industry

The steel industry, which has endured years of mediocre performance due to a supply glut and consequent depressed world prices, has seen considerable resurgence during the last several months. The ever-widening demand-supply gap, and greatly increased input costs have resulted in prices firming up. The sharp increase in steel prices without any let-up is an issue that steel customers have found difficult to grapple with. Many customers believe that the steel industry is behaving opportunistically. The paper attempts to understand the dynamics of the Indian steel industry. Although the steel industry caters to both consumer (B2C) and business (B2B) markets, the focus of the paper is on the business markets, which accounts for 80% of the market. After presenting a picture of who the suppliers and customers of the steel industry are, the paper presents the various forces at play in the industry, a conceptual model to understand supplier-customer relationships in the industry, and traces the sources of animosity and hostility between the supplier and the customer firms. Forging meaningful value-based long-term relationships between supplier and customer firms as a way forward is explored. The paper presents possible remedies to the malady of distrust between customer and supplier firms. Collaborative working between competing suppliers and active pan-industry collaborative forums to bring better cooperation and trust between customer and supplier firms are essential first steps to bring normalcy back into the industry’s functioning.

Computational screening of magnetocaloric alloys

An exciting development over the past few decades has been the use of high-throughput computational screening as a means of identifying promising candidate materials for a variety of structural or functional properties. Experimentally, it is often found that the highest-performing materials contain substantial atomic site disorder. These are frequently overlooked in high-throughput computational searches however, due to difficulties in dealing with materials that do not possess simple, well-defined crystallographic unit cells. Here we demonstrate that the screening of magnetocaloric materials with the help of the density functional theory-based magnetic deformation proxy can be extended to systems with atomic site disorder. This is accomplished by thermodynamic averaging of the magnetic deformation for ordered supercells across a solid solution. We show that the highly non-monotonic magnetocaloric properties of the disordered solid solutions Mn(Co$_{1-x}$Fe$_x$)Ge and (Mn$_{1-x}$Ni$_x$)CoGe are successfully captured using this method.Comment: Main text: 8 pages, 6 figures. Supplemental Material: 2 pages, 2 figure

Feedback Communication Systems with Limitations on Incremental Redundancy

This paper explores feedback systems using incremental redundancy (IR) with noiseless transmitter confirmation (NTC). For IR-NTC systems based on {\em finite-length} codes (with blocklength $N$) and decoding attempts only at {\em certain specified decoding times}, this paper presents the asymptotic expansion achieved by random coding, provides rate-compatible sphere-packing (RCSP) performance approximations, and presents simulation results of tail-biting convolutional codes. The information-theoretic analysis shows that values of $N$ relatively close to the expected latency yield the same random-coding achievability expansion as with $N = \infty$. However, the penalty introduced in the expansion by limiting decoding times is linear in the interval between decoding times. For binary symmetric channels, the RCSP approximation provides an efficiently-computed approximation of performance that shows excellent agreement with a family of rate-compatible, tail-biting convolutional codes in the short-latency regime. For the additive white Gaussian noise channel, bounded-distance decoding simplifies the computation of the marginal RCSP approximation and produces similar results as analysis based on maximum-likelihood decoding for latencies greater than 200. The efficiency of the marginal RCSP approximation facilitates optimization of the lengths of incremental transmissions when the number of incremental transmissions is constrained to be small or the length of the incremental transmissions is constrained to be uniform after the first transmission. Finally, an RCSP-based decoding error trajectory is introduced that provides target error rates for the design of rate-compatible code families for use in feedback communication systems.Comment: 23 pages, 15 figure

On the Estimation of Parameters when the Observations are Subject to Measurement Error

Maximum likelihood estimation of parameters is considered in the situation where a measurement x is taken to mean x + d. The maximum likelihood estimator for the parameter of the exponential distribution is found for this case and compared with the usual estimator

A functorial construction of moduli of sheaves

We show how natural functors from the category of coherent sheaves on a projective scheme to categories of Kronecker modules can be used to construct moduli spaces of semistable sheaves. This construction simplifies or clarifies technical aspects of existing constructions and yields new simpler definitions of theta functions, about which more complete results can be proved.Comment: 52 pp. Dedicated to the memory of Joseph Le Potier. To appear in Inventiones Mathematicae. Slight change in the definition of the Kronecker algebra in Secs 1 (p3) and 2.2 (p6), with corresponding small alterations elsewhere, to make the constructions work for non-reduced schemes. Section 6.5 rewritten. Remark 2.6 and new references adde