Investigating the efficacy of an intelligent operation planning and support tool for acute healthcare contexts

Nurses are the largest group of healthcare professionals in hospitals providing 24-hour care to patients. Hence, nurses are pivotal in coordinating and communicating patient care information in the complex network of healthcare professionals, services and other care processes. Yet, despite nurses' central role in health care delivery, intelligent systems have historically rarely been designed around nurses' operational needs. This could explain the poor integration of technologies into nursing work processes and consequent rejection by nursing professionals. The complex nature of acute care delivery in hospitals and the frequently interrupted patterns of nursing work suggest that nurses require flexible intelligent systems that can support and adapt to their variable workflow patterns. This study is designed to explore nurses' initial reactions to a new intelligent operational planning and support tool (IOPST) for acute healthcare. The following reports on the first stage of a longitudinal project to use an innovative approach involving nurses in the development of the IOPST; from conceptualization to implementation.

Using information flow model to specify the Kanban-controlled shopfloor control system

The implementation of Kanban-based production control systems may be difficult in make-to-order environments such as job shops. The flexible manufacturing approach constitutes a promising solution to adapt the Kanban method to such environments. This paper presents an information flow modelling approach for specifying the operational planning and control functions of the Kanban-controlled shopfloor control system (KSCS) in a flexible manufacturing environment. By decomposing the KSCS control functionalities, we have created the system information flow model through the data flow diagrams of Structured Systems Analysis Methodology. The data flow diagrams serve effective system specifications for communicating the system operations to participants of different disciplines as well as the system model for the design and development of KSCS.

The Chihuahua sustainability practice: lots of shivering but no real action. Practical sustainability acceptance is low in German and New Zealand firms

Purpose – This paper aims to describe the extent to which corporate organizations in Germany and in New Zealand have included sustainability practices as part of their strategic planning process.

Design/methodology/approach – Current literature is reviewed to make a case for sustainability to be a driver behind corporate decision making and long-term performance. The results of surveys of several hundred firms in both Germany and New Zealand, countries with a publicly stated commitment to sustainability, are reviewed to compare the adoption rates of sustainability practices.

Findings – There is a significant difference between what firms do and what their managers think is important. Managers largely consider sustainability practices an important factor for their future careers, while firms to a large extent do not include sustainability as part of their strategic or operational planning process.

Research limitations/implications – The International Sustainability Acceptance Measurement (ISAM) collects data in several countries through local-language versions of the same online survey tool (www.worldreply.com). The findings in this report are specific only to New Zealand and Germany.

Practical implications – The paper points academics, corporate executives and sustainability fanatics to an alarming inconsistency between what is publicly reported as commitment to sustainability and what is practically achieved.

Originality/value – This paper adds value to the discussion of how sustainability practices have migrated into the operation of firms.

Determinants of green supply chain implementation in the food and beverage sector

Using a grounded theory approach, this paper extracts emerging concepts in the implementation of green supply chain management from case data of New Zealand food and beverage (F&B) companies. In search of factors that may lead to theory-building, the study relates case studies in fruit, juice, and dairy product companies through in-depth interviews with ranking general and line managers. We uncover the outline of a theoretical framework focusing on determinants of GSCM behaviour. These include strategic and operational planning; management structure, systems, and decision-making; management of people and company culture; and relationships with supply-chain members.

An effective heuristic for stockyard planning and machinery scheduling at a coal handling facility

Coal handling is a complex process involving different correlated and highly dependent operations such as selecting appropriate product types, planning stockpiles, scheduling stacking and reclaiming activities and managing train loads. Planning these operations manually is time consuming and can result in non-optimized schedules as future impact of decisions may not be appropriately considered. This paper addresses the operational scheduling of the continuous coal handling problem with multiple conflicting objectives. As the problem is NP-hard in nature, an effective heuristic is presented for planning stockpiles and scheduling resources to minimize delays in production and the coal age in the stockyard. A model of stockyard operations within a coal mine is described and the problem is formulated as a Bi- Objective Optimization Problem (BOOP). The algorithm efficacy is demonstrated on different real-life data scenarios. Computational results show that the solution algorithm is effective and the coal throughput is substantially impacted by the conflicting objectives. Together, the model and the proposed heuristic, can act as a decision support system for the stockyard planner to explore the effects of alternative decisions, such as balancing age and volume of stockpiles, and minimizing conflicts due to stacker and reclaimer movements.