Coordinated Capacitated Lot‐Sizing Problem with Dynamic Demand: A Lagrangian Heuristic

Coordinated replenishment problems are common in manufacturing and distribution when a family of items shares a common production line, supplier, or a mode of transportation. In these situations the coordination of shared, and often limited, resources across items is economically attractive. This paper describes a mixed‐integer programming formulation and Lagrangian relaxation solution procedure for the single‐family coordinated capacitated lot‐sizing problem with dynamic demand. The problem extends both the multi‐item capacitated dynamic demand lot‐sizing problem and the uncapacitated coordinated dynamic demand lot‐sizing problem. We provide the results of computational experiments investigating the mathematical properties of the formulation and the performance of the Lagrangian procedures. The results indicate the superiority of the dual‐based heuristic over linear programming‐based approaches to the problem. The quality of the Lagrangian heuristic solution improved in most instances with increases in problem size. Heuristic solutions averaged 2.52% above optimal. The procedures were applied to an industry test problem yielding a 22.5% reduction in total costs.     

Designing Distribution Systems to Support Vendor Strategies in Supply Chain Management*

The interactions among a firm's distribution strategy, market share, and distribution costs are an important consideration in the design of supply chain networks. However, these interactions are largely ignored by existing distribution system design methodologies, which assume demand is constant regardless of the firm's distribution strategy. This paper describes a multidisciplinary framework that considers these interactions in the design of “profit maximizing” distribution networks. The framework employs two major decision support methodologies: (1) binary logit models for estimating market share considering various demand-influencing parameters such as product price and distribution service, and (2) a mixed-integer programming (MIP) model for finding optimal distribution network designs. We applied the framework to an actual design problem facing a national distributor of industrial chemical products. The test results verify the framework's large-scale capability and the potential benefit of the integrated solution methodology.     

The Impact of E‐Replenishment Strategy on Make‐to‐Order Supply Chain Performance

This research investigates the impact of electronic replenishment strategy on the operational activities and performance of a two‐stage make‐to‐order supply chain. We develop simulation‐based rolling schedule procedures that link the replenishment processes of the channel members and apply them in an experimental analysis to study manual, semi‐automated, and fully automated e‐replenishment strategies in decentralized and coordinated decision‐making supply chain structures. The average operational cost reductions for moving from a manual‐based system to a fully automated system are 19.6, 29.5, and 12.5%, respectively, for traditional decentralized, decentralized with information sharing, and coordinated supply chain structures. The savings are neither equally distributed among participants, nor consistent across supply chain structures. As expected, for the fully coordinated system, total costs monotonically decrease with higher levels of automation. However, for the two decentralized structures, under which most firms operate today, counter‐intuitive findings reveal that the unilateral application of e‐procurement technology by the buyer may lower his purchasing costs, but increase the seller's and system's costs. The exact nature of the relationship is determined by the channel's operational flexibility. Broader results indicate that while the potential economic benefit of e‐replenishment in a decentralized system is substantial, greater operational improvements maybe possible through supply chain coordination.     

An Arborescent Network Formulation and Dual Ascent Based Procedure for the Two-Stage Multi-Item Dynamic Demand Lotsize Problem

Traditional approaches for modeling and solving dynamic demand lotsize problems are based on Zangwill's single-source network and dynamic programming algorithms. In this paper, we propose an arborescent fixed-charge network (ARBNET) programming model and dual ascent based branch-and-bound procedure for the two-stage multi-item dynamic demand lotsize problem. Computational results show that the new approach is significantly more efficient than earlier solution strategies. The largest set of problems that could be solved using dynamic programming contained 4 end items and 12 time periods, and required 475.38 CPU seconds per problem. The dual ascent algorithms averaged .06 CPU seconds for this problem set, and problems with 30 end items and 24 time periods were solved in 85.65 CPU seconds. Similar results verify the superiority of the new approach for handling backlogged demand. An additional advantage of the algorithm is the availability of a feasible solution, with a known worst-case optimality gap, throughout the problem-solving process.     

Child safety in policy: Who is being kept safe and from what?

Keeping children safe from harm is a national policy priority in Australia. Extensive inquiries and reviews have highlighted institutions' persistent failures to respond ethically and appropriately to child abuse and its life-long impacts on survivors. Policy efforts now reflect considerable emphasis on safeguarding children, including through the development of ‘child safe’ organisations. The realisation of these policy aspirations requires close attention to how ‘child safe’ is conceptualised and operationalised in different organisational contexts. Drawing on an analysis of policy in Australia and other international jurisdictions, namely New Zealand, the United Kingdom and Ireland, this article engages critically with the notion of ‘child safe’ in policy, to explore who is to be safe, from what and how, in organisational settings. The findings suggest emergent discourses of ‘child safe’ are bound up with particular constructions of both children and safety, reflect current social and political understandings and agendas, and have implications for organisations' approaches to safety. Ensuring the safety of children in Australia and other jurisdictions requires continuing scrutiny of policy implementation to make sure current policy efforts are not reduced to compliance-based imperatives that protect organisations, but fail to create the cultural conditions that enhance children's wellbeing and safety.     

The Value of Organizational Ambivalence for Small and Medium Size Enterprises in an Uncertain World

Prior literature suggests two competing mechanisms for how organizations respond to environmental forces – absorption and reduction – but there is no consensus on which mechanism is more effective. We solve this puzzle by analysing one underlying dimension of these two mechanisms – organizational ambivalence – in a small and medium size enterprise context. Specifically, we believe that because of the difference in consuming resources, organizational ambivalence can be divided into latent and active, which exhibit different uses in dealing with environmental forces and improving firm performance. We conducted two studies in four countries to test our hypotheses. These two studies yield unanimous support for our hypotheses regarding the impact of organizational ambivalence on organizational performance and mixed support for our hypotheses concerning environmental impacts on organizational ambivalence.     

Policy Coherence for Sustainable Agricultural Development: Uncovering Prospects and Pretence within the Swedish Policy for Global Development

Within the European Union, promotion of ‘policy coherence’ is intended to improve co‐ordination across sectors and groups of professionals, who make competing claims for agricultural development in low‐income countries. This article examines the prospects for stakeholders in Sweden to implement such a policy, drawing on experiences from the launch of a national multi‐stakeholder platform with the participation of 99 organisations. Its findings demonstrate institutional fragmentation and struggles for legitimacy, with the internationally heralded Swedish Policy for Global Development operated largely as a tokenistic instrument, legitimised by the pretence of stakeholder engagement. It argues for improved institutional support to facilitate cross‐sectoral dialogues to deconstruct social boundaries which are no longer relevant.     

Interpreting Parents Anonymous as a source of help for those with child abuse problems.

A study of reasons for joining the self-help group offers some considerations and guidelines for child welfare workers recommending this step to clients.     

I Wish: Multigenerational Regrets and Reflections on Teaching Children About Money

Millennials are struggling to meet current financial challenges. As we strive to improve financial capability in future generations, it is important that we look to the primary source of financial education: parents. This qualitative, multigenerational study explored what Millennials and their parents and grandparents (N?=?153) wish they had been taught about finances by their parents, as well as what parents and grandparents wish they had taught their children. Thematic content coding of the interviews revealed three core “I Wish” themes: “Practical Knowledge,” “Financial Stewardship,” and “Open Communication.” These findings can assist researchers, family life educators, financial educators, parents, and future parents to enhance the financial education provided by parents in the home.