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An established method of modelling a controller using a fuzzy relation is examined in the light of recent criticisms. An alternative formulation of the fuzzy relation is described and use of the fuzzy relation as a synthesis tool is discussed. A new approach to tuning such controllers is proposed.

Small and medium enterprises (SMEs) are expected to be more creative and innovative to survive in the business competition and to make their businesses environmentally friendly, to develop global supply chain strategies, and to make innovations in products and business processes to become indispensable. This study discusses the effect of green supply chain integration (GSCI) and environmental uncertainty on performance through the moderation of green innovation. Structural equation modeling and maximum likelihood estimation were used to analyze a sample of 130 SMEs in East Java, Indonesia. The result shows that GSCI and environmental uncertainty significantly affect performance, and green innovation significantly moderates the effect. This research found that SME’s performance is influenced by GSCI concept and green innovation application as well as SME’s understanding about recent and future environmental uncertainties; this fits the market demand.

The law relating to foreign bodies in food and drink continues to grow in volume, if not in clarity. It is generally accepted that their presence may constitute an infringement of Section 2, Food and Drugs Act, 1955; that dust (or cement or paint or any other extraneous matter) adhering to the interior of a bottle means that the bottle is not clean within the meaning of regulation 27 (1), Milk and Dairies Regulations, 1959 or regulation 6 (2), Food Hygiene Regulations, 1960. This has been held to be so even if the dust (or other adherent substance) has been shown to be sterile. In Jones v. Bryn Dairy, Ltd., (1954), Q.B.D., a case under the Milk and Dairies Regulations, 1949 where the offence concerned dust adhering to the interior of a bottle of milk, Lord Goddard made the robust statement of the obvious—“clean means clean”—and rejected the argument that the bottle which contained the very small quantity of dust was clean because the dust itself was sterile. It had yet to be decided that similar considerations applied to a foreign body lying loose in the bottle; that such a bottle of milk was not in a state of thorough cleanliness before use. The decision of the Divisional Court in South Coast Dairies Ltd. v. Halstead (1963), (reported in December, 1963 issue of B.F.J.,) has now done this.

Most current modeling approaches identify very small gains from trade reform. In this chapter, we examine recent developments in the literature to assess whether standard modeling approaches are mis-specifying, understating, or overstating the gains from trade reform. Key areas where the impacts of trade barrier reduction appear to be understated include the measurement of barriers; the aggregation of these barriers; process productivity gains, particularly those resulting from reallocation of resources between firms; product quality improvements and expansion of product variety; factor supply; and investment of gains from trade.

AT the present time leisure is a subject which does not attract much serious attention. Sporadic discussions break out now and again among small groups; or it provides a topic for the popular press during the ‘silly season’. There is, however, a distinct possibility that in the measurable future an Institute of Leisure Study will be needed.

Risk assessment is a very important step toward managing risks in various organizations and industries. One of the most extensively applied risk assessment techniques is failure mode and effects analysis (FMEA). In this paper, a novel fuzzy multiple-criteria decision-making (MCDM)-based FMEA model is proposed for assessing the risks of different failure modes more accurately.

In this model, the weight of each failure mode is considered instead of risk priority number (RPN). Additionally, three criteria of time, cost and profit are added to the three previous risk factors of occurrence (O), severity (S) and detection (D). Furthermore, the weights of the mentioned criteria and the priority weights of the decision-makers calculated by modified fuzzy AHP and fuzzy weighted MULTIMOORA methods, respectively, are considered in the proposed model. A new ranking method of fuzzy numbers is also utilized in both proposed fuzzy MCDM methods.

To show the capability and usefulness of the suggested fuzzy MCDM-based FMEA model, Kerman Steel Industries Factory is considered as a case study. Moreover, a sensitivity analysis is conducted for validating the achieved results. Findings indicate that the proposed model is a beneficial and applicable tool for risk assessment.

To the best of authors’ knowledge, no research has considered the weights of failure modes, the weights of risk factors and the priority weights of decision-makers simultaneously in the FMEA method.

A FIRST attempt to give the dates of the introduction of printing into the various places in a county, generally results in an exhibition of the ignorance of the compiler. Further, when the information has not been systematically collected but simply forms part of a general collection of titles, relating not only to that county but to the country at large, the local specialist will probably quote vaguely of “rushing in where” he “fears to tread.” My only apology, and I consider it a perfectly valid one, for publishing the following notes on Essex printers and booksellers, is that no one else has done it.

Fatigue associated with shift work is a well-established and pervasive problem in policing that affects officer performance, safety, and health. It is critical to understand the extent to which fatigue degrades officer driving performance. Drowsy driving among post-shift workers is a well-established risk factor yet no data are available about officer injuries and deaths due to drowsy driving. The purpose of this paper is to assess the impact of fatigue associated with work shift and prior sleep on officers’ non-operational driving using laboratory experiments to assess post-shift drowsy driving risks and the ability of a well-validated vigilance and reaction-time task to assess these risks.

Experienced police patrol officer volunteers (n=78) from all four shifts of a medium-sized city’s police department were tested using a within- and between-subjects design to assess the impact of fatigue on individual officers, as well as the impact of different work shifts, on post-shift driving performance. Controlled laboratory experiments were conducted during which participants drove high-fidelity driving training simulators on two occasions: immediately following five consecutive 10:40-hour patrol shifts (fatigued condition) and again 72 hours after completing the last shift in a work cycle (rested condition).

Generalized linear mixed-model analyses of driving performance showed that officers working night shifts had significantly greater lane deviation during post-shift, non-operational driving than those working day shifts (F=4.40, df=1, 150, p=0.038). The same method also showed that easy to measure psychomotor vigilance test scores for reaction time predicted both lane deviation (F=31.48, df=1, 151, p < 0.001) and collisions (F=14.10, df=1, 151, p < 0.001) during the simulated drives.

Simulated driving tasks done by participants were generally less challenging than patrol or off-duty driving and likely underestimate the impact of fatigue on police driving post-shift or during extended shifts.

This is the first experimental research to assess the impact of shiftwork, fatigue, and extended shifts on police post-shift drowsy driving, a known risk factor for shift workers in general.

A problem of handling fuzzy quantities in a process of knowledge acquisition and deriving an inference mechanism by means of fuzzy relation equations is studied in extensive way. It is clearly pointed out that both of them are closely related and correspond to various types of fuzzy relation equations that are considered. Their relevance to the form of knowledge collected is also indicated. A problem of dimension reduction of a knowledge base is considered as well. Two modes of the use of the knowledge base (goal‐, and data‐driven) are also studied.