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The purpose of this paper is to determine and contrast the risk mitigating effectiveness from optimal multiproduct time-varying hedge ratios, applied to the margin of a cattle feedlot operation, over single commodity time-varying and naive hedge ratios.

A parsimonious regime-switching dynamic correlations (RSDC) model is estimated in two-stages, where the dynamic correlations among prices of numerous commodities vary proportionally between two different regimes/levels. This property simplifies estimation methods for a large number of parameters involved.

There is significant evidence that resulting simultaneous correlations among the prices (spot and futures) for each commodity attain different levels along the time-series. Second, for in and out-of-sample data there is a substantial reduction in the operation's margin variance provided from both multiproduct and single time-varying optimal hedge ratios over naive hedge ratios. Lastly, risk mitigation is attained at a lower cost given that average optimal multiproduct and single time-varying hedge ratios obtained for corn, feeder cattle and live cattle are significantly below the naive full hedge ratio.

The application studied is limited in that once a hedge position has been set at a particular period, it is not possible to modify or update at a subsequent period.

Agricultural producers, specifically cattle feeders, may profit from a tool using improved techniques to determine hedge ratios by considering a larger amount of up-to-date information. Moreover, these agents may apply hedge ratios significantly lower than one and thus mitigate risk at lower costs.

Feedlot operators will benefit from the potential implementation of this parsimonious RSDC model for their hedging operations, as it provides average optimal hedge ratios significantly lower than one and sizeable advantages in margin risk mitigation.

The purpose of this paper is to examine how firms with multimarket contacts in both product and geographic markets make foreign direct investments (FDI) location choices and to advance the understanding about how managers with cognitive limits cope with opportunities to take the advantage of mutual forbearance in two types of markets.

Drawing upon the literatures on multimarket contact and decision making, the authors develop original hypotheses on how multimarket contacts in two types of markets influence firms’ choice of destination for foreign investments. The authors test the hypotheses using longitudinal archival data on foreign market entries of Japanese auto parts makers.

The authors find that when choosing FDI locations, firms reduce the cognitive burdens of coping with multimarket contacts in the two types of markets by focussing exclusively on what is perceived as relevant to the decision at hand. The authors also find that this propensity is particularly significant for large firms, whereas small firms use different decision rules and avoid entering markets with the greater degree of multimarket contact with prior entrants, whether in product or national market.

Although heuristics simplify competitive environments and reduce managers’ cognitive burdens, such a cost-saving orientation could increase the risk associated with international entry that may end in severe counterattacks from prior entrants, wasteful foreign investments, and substantial entry failures.

This study contributes to the literature by adopting multimarket contact theory to foreign market entry, jointly analyzing two types of multimarket contacts, testing three alternative hypotheses about how boundedly rational managers cope with multimarket contacts in two markets, and demonstrating that managers focus on multimarket contacts only in one type of markets when making entry decisions.

Despite the important role that exploitation plays in innovation and new product development (NPD), research on the relative impact of internal organisational stocks of existing knowledge on subsequent exploitation is largely absent. In particular, there is lack of clarity within the extant literature regarding the associations between organisational exploitation and, respectively, the distal-proximal technological experience and radical-incremental innovative experience generated by multiproduct firms. Thus, this study seeks to further enhance researchers’ theoretical understanding on the relationship between organisational exploitation and internal knowledge stocks categorised along two dimensions of organisational experience accumulated by multiproduct firms that have not previously been considered jointly.

This paper pursues a focussed literature review approach and applies the underlying theory of exploitation to develop a theory explaining the possible relationships between organisational exploitation and internal knowledge stocks.

Based on the theory of exploitation, this paper proposes a new direction in studying the various internal knowledge stocks and their respective impact on subsequent organisational exploitation.

The proposed research direction suggests an emerging framework of possible relationships between exploitative new radical products development in firms, and respectively, proximal and distal technological experience, and radical and incremental innovative experience, accumulated in multiproduct firms. This novel framework can guide further research on this topic.

To fill a research gap regarding the possible relationships between subsequent exploitative endeavours and two dimensions of organisational experience that have been traditionally associated with the exploration-exploitation construct, this paper proposes and develops a novel typology of knowledge stocks categorised along two dimensions of organisational experience accumulated by multiproduct firms that have not previously been considered jointly in the literature.

This paper aims to present a set of five models for the economic order quantity problem. Four models solve problems for a single product: incremental discounts with or without backorders and all-unit discounts with or without backorders, and the last model solves problems for the multiproduct case.

A basic integer non-linear model with binary variables is presented, and its flexible structure allows for all five models to be utilised with minor modifications for adaptation to individual situations. The multiproduct model takes into consideration the work of Chopra and Meindl (2012), who studied two types of product aggregations: full and adaptive. To find optimal or near-optimal solutions for the multiproduct case, the authors propose a simulated annealing metaheuristic application. Numerical examples are presented to improve the comprehension of each model, and the authors also present the efficiency of the simulated annealing algorithm through an example that aggregates 50 products, each one with different discount schemes and some allowing backorders.

Our model proved to be efficient at finding optimal or near optimal solutions even when confronted with mathematical complexities such as the allowance of backorders and incremental discounts.

Finally our model can process a mix of products with different discount schemes at the same time, and the simulated annealing metaheuristics could find optimal or near optimal solutions with very few iterations.

The purpose of this paper is to set up a two‐stage stochastic integer‐programming model (TSM) for the multiperiod scheduling of multiproduct batch plants under demand uncertainty involving the constraints of material balances and inventory constraints, as well as the penalty for production shortfalls and excess.

Scheduling model is formulated as a discrete‐time State Task Network. Given a scheduling horizon consisting of several time‐periods in which product demands are placed, the objective is to select a schedule that maximizes the expected profit for a single and multiple product with a given probability level. The stochastic elements of the model are expressed with equivalent deterministic optimization models.

The TSM model not only allows for uncertain product demand correlations, but also gives different processing modes by a range of batch sizes and a task‐dependent processing time. The experimental results show that the TSM model is more appropriate than another model for multiperiod scheduling of multiproduct batch plants under correlated uncertain demand.

The choice of penalty parameter of demand uncertainty is the main limitation.

The paper provides very useful advice for multiperiod scheduling of multiproduct batch plants under demand uncertainty.

A stochastic model for the multiperiod scheduling of multiproduct batch plants under demand uncertainty was set up. A test problem involving 12 correlated uncertain product demands and two alternative models verified the availability of the TSM.

Subjects in the role of multiproduct monopolists are observed in markets where demand is initially unknown. In each market period, the seller must choose between selling each good individually or selling a bundle containing one unit of each good. The fact that individual and collective reservation prices (demand) are initially unknown complicate this choice. As such information is paramount in determining the relative profitability of the two sales strategies, the multiproduct monopolist finds it profitable to search across various offer prices. A seller accumulates this information during a costless “practice” phase, then enters a ‘market” phase where profits or losses have pecuniary rewards. Results indicate that a multiproduct monopolist is often able to select the more profitable sales strategy.

Examines executives′ perceptions of the demand curve in the context of a multiproduct firm. Cluster analysis is used to develop an empirically‐based demand curve typology and relate it to various descriptors of the market environment. Examines the theoretical and managerial implications of the derived typology and identifies future research avenues.

Suggests that, in recent years, remarkable progress has been made in the development of the topological design of logistics networks, especially in the warehouse location problem. Extends the standard warehouse location problem to a generalization of multiproduct capacitated warehouse location problem, as opposed to differentiated variations of a single‐product warehouse location problem, where each warehouse has a given capacity for carrying each product. Presents an algorithm based on cross‐decomposition, to reduce the computational difficulty by incorporating Benders decomposition and Lagrangean relaxation. Computational results of this algorithm are encouraging.

This chapter examines the main methodological issues involved in the comprehension of the cost structure of the airport industry and suggests considerations for future airport cost analyses. Such understanding has become a crucial concern for policy makers, regional planners, and managers in order to deal with optimal market design (e.g., regulation and market configuration) and airport strategies (e.g., pricing, investments, and alliances). An in-depth analysis of the economics of cost functions is presented, together with a description of the relevant multi-output cost economies measures (average incremental costs, scale and scope economies, and cost complementarities). We also discuss the assumptions underlying estimates of total versus variable cost functions and the importance of estimating a sufficiently flexible functional form. Moreover, we provide a critical survey of the international empirical literature on the cost structure of the airport industry, which highlights how econometric estimates strongly depend on the sample choice and the empirical model considered. Indeed, while econometric studies on international samples based on long-run cost function estimates show that long-run scale economies are never exhausted, single country studies mostly estimate variable cost functions and find lower values for scale economies at median sample points that tend to decrease with size. We discuss why we believe that studies based on the estimation of short-run variable cost functions offer more reliable results, given the reasonable assumption of airport overcapitalization in the short run. We conclude our work by noting that underlying policy issues related to planning and regulation, as well as to the optimal market structure of the airport sector, need to take into account the role played by vertical relationships between airports and airlines.

This study extends the theoretical analyses of Duration-Based Costing (DBC), an alternative cost measurement system to Activity-Based Costing (ABC). DBC is simpler than ABC and uses the production cycle time to assign costs. This simplicity should allow DBC to be a better costing method for multiproduct firms that exhibit nonconstant returns to scale.

Data simulations for 1,000 cases and Data Envelopment Analysis (DEA) are used to analyze the production functions inside DBC and ABC models to determine their relative technical efficiency.

The results show that, for a given set of simulations, DBC shows more nonconstant returns to scale than does ABC. This corroborates prior research and suggests that a more complex costing system, such as ABC, may not always match the production technology of a multiproduct firm. Thus, DBC may have a higher level of accuracy than does ABC for firms that exhibit nonconstant returns to scale.

Since DBC has only recently been theoretically developed, this study is the first to analyze the relative technical efficiency of DBC compared to ABC.

This study should bring some further awareness of the implications of alternative costing methods. The limitation of DBC is that it does not capture other factors not driven by the production cycle time that could be necessary for management decision making. However, DBC is better for multiproduct firms than a more complicated costing system and does help decision makers determine whether the production process is operating efficiently. It is imperative that firms choose which costing methods fit the firm’s needs and economic structure.