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This chapter argues that the Marxian theory of exploitation underlies the concepts of surplus and deficit industries that appear in Sraffa’s (1960) Production of Commodities by Means of Commodities. This is seen from archival research of the unpublished papers of Piero Sraffa housed at the Wren Library, Trinity College, University of Cambridge. There it is shown that the origin of these concepts lies in the Marxian theory of exploitation that Sraffa developed regarding the notion of the ‘pool of profits’ the Italian economist utilized over a 14-year period from 1942 to 1956. The chapter engages in an extensive textual study of the archival evidence and then presents a simple analytical model of these relations.

Resurgent interest in the life and work of the Italian Cambridge economist Piero Sraffa is leading to New Directions in Sraffa Scholarship. This chapter introduces readers to some of these developments. First and perhaps foremost is the fact that as of September 2016 Sraffa’s archival material has been uploaded onto the website of the Wren Library, Trinity College, Cambridge University, as digital colour images; this chapter introduces readers to the history of these events. This history provides sharp relief on the extant debates over the role of the archival material in leading to the final publication of Production of Commodities by Means of Commodities, and readers are provided a brief sketch of these matters. The varied nature of Sraffa scholarship is demonstrated by the different aspects of Sraffa’s intellectual legacy which are developed and discussed in the various entries of our Symposium. The conclusion is reached that we are on the cusp of an exciting phase change of tremendous potential in Sraffa scholarship.

Your company may find itself traveling down several different paths at once to reach its goals. The secret of success lies in making sure the roads are compatible. At one time, selecting the right options was a matter of chance. Today, finding the winning combination is almost a science.

The paper aims to identify, prioritize and rank lean practices in the context of an Indian automotive component manufacturing organization using interpretive ranking process (IRP) and interpretive structural modeling (ISM) approaches.

Lean practices are identified from the literature. Then, two hierarchical models were are developed using two distinct modeling approaches – ISM and IRP with expert opinions from an Indian automotive component manufacturing organization to analyze the contextual relationships among the various lean practices and to prioritize and rank them with respect to performance dimensions.

In the study, the hierarchical structural models are developed using ISM and IRP approaches for an Indian automotive component manufacturing organization. In ISM-based modeling, lean practices can be categorized into five levels. Top priority should be given to the motivators followed by value chain, system/technology and organization centric practices. IRP model shows the dominance relationship among the various lean practices with respect to performance dimensions.

The models are constructed from the organizational standpoint to evaluate their impact to the implementation of lean manufacturing. The study leverages the organizations to prioritize limited resources as per the hierarchy. Managers get the inter-linkages and ranking of various lean practices, which leads to a better perspective for the effective implementation of lean. The structural models also assist management to assign proper roles to employees/departments for effective lean implementation.

There is hardly any structural model of lean practices in the literature for clustering, prioritizing and ranking of lean practices. The study fills this gap and develops the hierarchical models of lean practices through IRP and ISM approaches for an Indian automotive component manufacturing organization. The results from both approaches are compared for illustrating the benefits of one over the other.

The purpose of this paper is to show that major reversals of an index (specifically BIST-30 index) can be detected uniquely on the date of reversal by checking the extreme outliers in the rate of change series using daily closing prices.

The extreme outliers are determined by checking if either the rate of change series or the volatility of the rate of change series displays more than two standard deviations on the date of reversal. Furthermore; wavelet analysis is also utilized for this purpose by checking the extreme outlier characteristics of the A1 (approximation level 1) and D3 (detail level 3) wavelet components.

Paper investigates ten major reversals of BIST-30 index during a five year period. It conclusively shows that all these major reversals are characterized by extreme outliers mentioned above. The paper also checks if these major reversals are unique in the sense of being observed only on the date of reversal but not before. The empirical results confirm the uniqueness. The paper also demonstrates empirically the fact that extreme outliers are associated only with major reversals but not minor ones.

The results are important for fund managers for whom the timely identification of the initial phase of a major bullish or bearish trend is crucial. Such timely identification of the major reversals is also important for the hedging applications since a major issue in the practical implementation of the stock index futures as a hedging instrument is the correct timing of derivatives positions.

To the best of the author’ knowledge; this is the first study dealing with the issue of major reversal identification. This is evidently so for the BIST-30 index and the use of extreme outliers for this purpose is also a novelty in the sense that neither the use of rate of change extremity nor the use of wavelet decomposition for this purpose was addressed before in the international literature.

In order to pursue men's suit wear comfort, the basic data on an accurate men's suit comfort analysis with clothing pressure is required. Therefore, in such investigation, it is difficult to find out ideal persons as test subjects. In the measuring experiments, we used dummies designed for resuscitation practice to obtain the clothing pressure with both normal standing posture and movement patterns and compared these data with subjects' to give the relationship of clothing pressure between the dummy and subject. The correlation between the measurements with dummies and the subjects' are shown. It turns out that the dummy D1 and D6 are mainly as intended in pressure measurement with normal standing posture. But the dummy D2 and D3 are not. It turns out that the dummy D1 can imitate the human shoulder's movement patterns well, and the dummy D4 and D6 are mainly as intended. But the dummy D2 is not. It turns out that all the dummies have a certain limitation to be placed in clothing pressure measurements. It also shows that instead of subject to use dummy to investigate clothing pressure with both normal standing posture and movement pattern, not only dummy's features such as compression hardness, form and size, but measuring postures are also needed to take into consideration.

Tool steel (AISI D3) is a preferred material for industrial usage. Some of the typical applications of D3 tool steel are blanking and forming dies, forming rolls, press tools and punches bushes. It is used under conditions where high resistance to wear or to abrasion is required and also for resistance to heavy pressure rather than to sudden shock is desirable. It is a high carbon and high chromium steel. Therefore, wire electric discharge machining (WEDM) is used to machine this tool steel. The paper aims to discuss these issues.

The present experimental investigation evaluates the influence of cryogenically treated wires on material removal rate (MRR) and surface roughness (SR) for machining of AISI D3 steel using the WEDM process. Two important process responses MRR and SR have been studied as a function of four different control parameters, namely pulse width, time between two pulses, wire mechanical tension and wire feed rate.

It was found that pulse width was the most significant parameter which affects the MRR and SR. Better surface finish was obtained with cryogenically treated zinc coated wire than brass wire.

The review of the literature indicates that there is limited published work on the effect of machining parameters in WEDM in cryogenic treated wires. Therefore, in this research work, it was decided to evaluate the effect of cryogenically treated wires on WEDM.

The study reported in this paper aims to synthesize some new curcumin containing sulphadiazine and sulphathiazole dyestuffs and study their application in dyeing silk fabrics rendering the dyed fabric antibacterial.

Simultaneous dyeing and antibacterial finishing for silk fabric using a new antibacterial acid dye having a modified chemical structure to curcumin were conducted. This modification of curcumin dye was carried out by introducing sulphonamide containing heterocyclic rings sulphadiazine and sulfathiazole through coupling with curcumin. All newly synthesized dyes were characterized by elemental analyses and spectral data (IR, 1H-NMR and MS). The dyeing characteristics of these dyestuffs were evaluated at optimum conditions. Antibacterial activities of the dyed samples at different concentrations of both dyes were studied against gram-positive (Staphylococcus aureus) and gram-negative (Salmonella typhimurium) bacteria.

The synthesized curcumin-containing sulphonamide dyes were applied on silk fabrics. The modified dyes exhibited good fastness properties compared to curcumin dye at optimum conditions. It was found that synthesized dyes exhibit good fastness and antibacterial properties efficient against gram-positive and gram-negative bacteria. The dyed silk fabrics showed higher antibacterial efficacy after many times of washing.

Curcumin, a common natural dye used for fabric and food colouration, was used as an antimicrobial finish due to its bactericidal properties on dyed textiles. A common dyeing process could provide textiles with colour as well as antimicrobial properties. Novel antibacterial dyestuff containing curcumin moieties with sulphonamide coupler components were shown to be an interesting natural colorant for silk with high antimicrobial ability of the dyed silk fabrics. This work has afforded a new acid dye that can be used in medical textile.

With the rapid-growing house market in the past decade, the purpose of this paper is to study the important issue of house price information flows among 12 major cities in China, including Shanghai, Beijing, Xiamen, Shenzhen, Guangzhou, Hangzhou, Ningbo, Nanjing, Zhuhai, Fuzhou, Suzhou and Dongguan, during the period of June 2010 to May 2019.

The authors approach this issue in both time and frequency domains, latter of which is facilitated through wavelet analysis and by exploring both linear and nonlinear causality under the vector autoregressive framework.

The main findings are threefold. First, in the long run of the time domain and for timescales beyond 16 months of the frequency domain, house prices of all cities significantly affect each other. For timescales up to 16 months, linear causality is weaker and is most often identified for the scale of four to eight months. Second, while nonlinear causality is seldom determined in the time domain and is never found for timescales up to four months, it is identified for scales beyond four months and particularly for those beyond 32 months. Third, nonlinear causality found in the frequency domain is partly explained by the volatility spillover effect.

Results here should be of use to policymakers in certain policy analysis.